{"_meta":{"format":"langchain-documents-v1","schema":"https://python.langchain.com/docs/concepts/document_loaders/","generated_at":"2026-06-28T00:46:59.812Z","document_count":1752,"distinct_terms":876,"license":"CC-BY-4.0","source":"https://sukruyusufkaya.com"},"documents":[{"page_content":"# Çekimser Kalma\n\n**Definition:** Modelin emin olmadığı durumlarda kesin yanıt uydurmak yerine yanıt vermemeyi veya belirsizlik bildirmeyi seçmesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/abstention","slug":"abstention","lang":"tr","title":"Çekimser Kalma","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:04.051Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.204Z","tags":["Abstention","Uncertainty","Safety","Hallucination Control"]}},{"page_content":"# Abstention\n\n**Definition:** The ability of a model to avoid fabricating certainty and instead decline or express uncertainty when it is not confident.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/abstention","slug":"abstention","lang":"en","title":"Abstention","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:04.051Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.204Z","tags":["Abstention","Uncertainty","Safety","Hallucination Control"]}},{"page_content":"# Abstractive Özetleme\n\n**Definition:** Kaynak metni yeniden ifade ederek daha doğal ve yoğun özetler üreten üretici özetleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/abstractive-summarization","slug":"abstractive-summarization","lang":"tr","title":"Abstractive Özetleme","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:15:11.017Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.479Z","tags":["Abstractive Summarization","Generation","Faithfulness","NLP"]}},{"page_content":"# Abstractive Summarization\n\n**Definition:** A generative summarization approach that rewrites source text to produce more natural and dense summaries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/abstractive-summarization","slug":"abstractive-summarization","lang":"en","title":"Abstractive Summarization","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:15:11.017Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.479Z","tags":["Abstractive Summarization","Generation","Faithfulness","NLP"]}},{"page_content":"# Akustik Olay Tespiti\n\n**Definition:** Ses akışı içindeki belirli olayları zaman ekseninde bulup etiketlemeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/acoustic-event-detection","slug":"acoustic-event-detection","lang":"tr","title":"Akustik Olay Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:08.724Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.857Z","tags":["Acoustic Event Detection","Environmental Audio","Temporal Events","Audio AI"]}},{"page_content":"# Acoustic Event Detection\n\n**Definition:** A task focused on locating and labeling specific events within an audio stream over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/acoustic-event-detection","slug":"acoustic-event-detection","lang":"en","title":"Acoustic Event Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:08.724Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.857Z","tags":["Acoustic Event Detection","Environmental Audio","Temporal Events","Audio AI"]}},{"page_content":"# Akustik Sahne Sınıflandırma\n\n**Definition:** Bir ses kaydının hangi ortam veya bağlamdan geldiğini tahmin etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/acoustic-scene-classification","slug":"acoustic-scene-classification","lang":"tr","title":"Akustik Sahne Sınıflandırma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:37:23.834Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.766Z","tags":["Acoustic Scene Classification","Environmental Audio","Audio Context","Audio AI"]}},{"page_content":"# Acoustic Scene Classification\n\n**Definition:** A task focused on predicting what environment or context an audio recording comes from.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/acoustic-scene-classification","slug":"acoustic-scene-classification","lang":"en","title":"Acoustic Scene Classification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:37:23.834Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.766Z","tags":["Acoustic Scene Classification","Environmental Audio","Audio Context","Audio AI"]}},{"page_content":"# Aksiyon Öngörüsü\n\n**Definition:** Henüz tamamlanmamış bir video akışından gelecekte gerçekleşecek eylemi önceden tahmin etmeye çalışan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/action-anticipation","slug":"action-anticipation","lang":"tr","title":"Aksiyon Öngörüsü","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:44:54.951Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.137Z","tags":["Action Anticipation","Predictive Video","Behavior Forecasting","Vision"]}},{"page_content":"# Action Anticipation\n\n**Definition:** A task that attempts to predict a future action from a partially observed video stream before it fully unfolds.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/action-anticipation","slug":"action-anticipation","lang":"en","title":"Action Anticipation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:44:54.951Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.137Z","tags":["Action Anticipation","Predictive Video","Behavior Forecasting","Vision"]}},{"page_content":"# Aksiyon Tanıma\n\n**Definition:** Video içindeki insan veya nesne hareketlerinden belirli eylem sınıflarını tanımaya odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/action-recognition","slug":"action-recognition","lang":"tr","title":"Aksiyon Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:04.500Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.328Z","tags":["Action Recognition","Video Understanding","Temporal Modeling","Vision"]}},{"page_content":"# Action Recognition\n\n**Definition:** A task focused on recognizing action classes from human or object motion in video.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/action-recognition","slug":"action-recognition","lang":"en","title":"Action Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:04.500Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.328Z","tags":["Action Recognition","Video Understanding","Temporal Modeling","Vision"]}},{"page_content":"# Aktif Etiketleme\n\n**Definition:** Modelin en faydalı veya en belirsiz örnekleri seçerek etiketleme maliyetini optimize etmeyi amaçlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/active-labeling","slug":"active-labeling","lang":"tr","title":"Aktif Etiketleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:14.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.407Z","tags":["Active Labeling","Efficiency","Uncertainty Sampling","Annotation"]}},{"page_content":"# Active Labeling\n\n**Definition:** An approach that aims to optimize labeling cost by selecting the most useful or uncertain examples for annotation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/active-labeling","slug":"active-labeling","lang":"en","title":"Active Labeling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:14.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.407Z","tags":["Active Labeling","Efficiency","Uncertainty Sampling","Annotation"]}},{"page_content":"# AdaBoost\n\n**Definition:** Zor örneklere giderek daha fazla odaklanarak zayıf öğrenicileri güçlü bir ensemble modele dönüştüren boosting yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/adaboost","slug":"adaboost","lang":"tr","title":"AdaBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:56.859Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.483Z","tags":["AdaBoost","Boosting","Ensemble","Classification"]}},{"page_content":"# AdaBoost\n\n**Definition:** A boosting method that turns weak learners into a strong ensemble by focusing increasingly on hard examples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/adaboost","slug":"adaboost","lang":"en","title":"AdaBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:56.859Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.483Z","tags":["AdaBoost","Boosting","Ensemble","Classification"]}},{"page_content":"# Adam Optimizasyonu\n\n**Definition:** Uyarlamalı öğrenme oranı ile momentum mantığını birleştiren popüler optimizasyon algoritması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/adam-optimizasyonu","slug":"adam-optimizasyonu","lang":"tr","title":"Adam Optimizasyonu","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:20:25.902Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.319Z","tags":["Adam","Adaptive Optimization","Deep Learning","Training"]}},{"page_content":"# Adam Optimization\n\n**Definition:** A popular optimization algorithm that combines adaptive learning rates with momentum-like behavior.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/adam-optimizasyonu","slug":"adam-optimizasyonu","lang":"en","title":"Adam Optimization","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:20:25.902Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.319Z","tags":["Adam","Adaptive Optimization","Deep Learning","Training"]}},{"page_content":"# Adapter Katmanları\n\n**Definition:** Ana modelin içine küçük ek modüller yerleştirerek görev uyarlaması sağlayan parametre verimli yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/adapters","slug":"adapters","lang":"tr","title":"Adapter Katmanları","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:25.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.381Z","tags":["Adapters","PEFT","Modular Tuning","LLM"]}},{"page_content":"# Adapters\n\n**Definition:** A parameter-efficient approach that inserts small modules into the base model to enable task adaptation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/adapters","slug":"adapters","lang":"en","title":"Adapters","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:25.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.381Z","tags":["Adapters","PEFT","Modular Tuning","LLM"]}},{"page_content":"# Additive Attention\n\n**Definition:** Sorgu ve bağlam temsillerini öğrenilebilir bir birleşim fonksiyonu ile karşılaştıran erken dönem dikkat yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/additive-attention","slug":"additive-attention","lang":"tr","title":"Additive Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:48.460Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.742Z","tags":["Additive Attention","Seq2Seq","Alignment","Attention"]}},{"page_content":"# Additive Attention\n\n**Definition:** An early attention approach that compares query and context representations through a learnable combination function.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/additive-attention","slug":"additive-attention","lang":"en","title":"Additive Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:48.460Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.742Z","tags":["Additive Attention","Seq2Seq","Alignment","Attention"]}},{"page_content":"# Hakemli Etiketleme Akışı\n\n**Definition:** Çelişkili veya belirsiz etiketlerin üst düzey inceleme ile çözüldüğü kalite güvence süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/adjudication-workflow","slug":"adjudication-workflow","lang":"tr","title":"Hakemli Etiketleme Akışı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:39.395Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.588Z","tags":["Adjudication","Quality Assurance","Annotation Review","Label Quality"]}},{"page_content":"# Adjudication Workflow\n\n**Definition:** A quality assurance workflow in which conflicting or ambiguous labels are resolved through higher-level review.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/adjudication-workflow","slug":"adjudication-workflow","lang":"en","title":"Adjudication Workflow","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:39.395Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.588Z","tags":["Adjudication","Quality Assurance","Annotation Review","Label Quality"]}},{"page_content":"# Affinity Propagation\n\n**Definition:** Temsilci örnekler üzerinden mesajlaşma mantığıyla kümeleri oluşturan kümeleme algoritması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/affinity-propagation","slug":"affinity-propagation","lang":"tr","title":"Affinity Propagation","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:15:17.641Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.319Z","tags":["Affinity Propagation","Clustering","Exemplars","Unsupervised Learning"]}},{"page_content":"# Affinity Propagation\n\n**Definition:** A clustering algorithm that forms clusters through message passing around representative exemplars.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/affinity-propagation","slug":"affinity-propagation","lang":"en","title":"Affinity Propagation","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:15:17.641Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.319Z","tags":["Affinity Propagation","Clustering","Exemplars","Unsupervised Learning"]}},{"page_content":"# Agregasyon Tablosu\n\n**Definition:** Detay verilerden türetilmiş özet sonuçları saklayarak analitik sorguları hızlandıran tablo yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/aggregate-table","slug":"aggregate-table","lang":"tr","title":"Agregasyon Tablosu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:45.079Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.531Z","tags":["Aggregate Table","Performance","Warehouse","Summaries"]}},{"page_content":"# Aggregate Table\n\n**Definition:** A table structure that stores summarized results derived from detailed data in order to accelerate analytical queries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/aggregate-table","slug":"aggregate-table","lang":"en","title":"Aggregate Table","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:45.079Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.531Z","tags":["Aggregate Table","Performance","Warehouse","Summaries"]}},{"page_content":"# Agregasyon Özelliği\n\n**Definition:** Bireysel kayıtları daha üst seviyede özetleyerek model için yeni anlamlı sinyaller üreten özellik yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/agregasyon-ozelligi","slug":"agregasyon-ozelligi","lang":"tr","title":"Agregasyon Özelliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:20:15.774Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.742Z","tags":["Aggregation Feature","Behavior Modeling","Feature Engineering","Context"]}},{"page_content":"# Aggregation Feature\n\n**Definition:** A feature structure that summarizes lower-level records into higher-level signals meaningful for modeling.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/agregasyon-ozelligi","slug":"agregasyon-ozelligi","lang":"en","title":"Aggregation Feature","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:20:15.774Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.742Z","tags":["Aggregation Feature","Behavior Modeling","Feature Engineering","Context"]}},{"page_content":"# AIC\n\n**Definition:** Model uyumu ile model karmaşıklığı arasında denge kurarak model seçimine yardımcı olan bilgi kriteri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/aic","slug":"aic","lang":"tr","title":"AIC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:35.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:51.053Z","tags":["AIC","Model Selection","Complexity","Statistics"]}},{"page_content":"# AIC\n\n**Definition:** An information criterion that supports model selection by balancing model fit against model complexity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/aic","slug":"aic","lang":"en","title":"AIC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:35.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:51.053Z","tags":["AIC","Model Selection","Complexity","Statistics"]}},{"page_content":"# Akıl Yürütme\n\n**Definition:** Elde bulunan bilgi, kural veya gözlemlerden yeni sonuçlar çıkarma ve kararları gerekçelendirme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/akil-yurutme","slug":"akil-yurutme","lang":"tr","title":"Akıl Yürütme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:49.389Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.227Z","tags":["Reasoning","Çıkarım","Mantık","Karar"]}},{"page_content":"# Reasoning\n\n**Definition:** The process of deriving new conclusions from available knowledge, rules, or observations and grounding decisions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/akil-yurutme","slug":"akil-yurutme","lang":"en","title":"Reasoning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:49.389Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.227Z","tags":["Reasoning","Çıkarım","Mantık","Karar"]}},{"page_content":"# Akıllı Ajan\n\n**Definition:** Çevresini algılayıp hedeflerine ulaşmak için uygun eylemleri seçen otonom veya yarı otonom sistem yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/akilli-ajan","slug":"akilli-ajan","lang":"tr","title":"Akıllı Ajan","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:46.135Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.541Z","tags":["Ajan","Karar","Çevre","Otonomi"]}},{"page_content":"# Intelligent Agent\n\n**Definition:** An autonomous or semi-autonomous system that perceives its environment and selects actions to achieve its goals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/akilli-ajan","slug":"akilli-ajan","lang":"en","title":"Intelligent Agent","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:46.135Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.541Z","tags":["Ajan","Karar","Çevre","Otonomi"]}},{"page_content":"# Akış Verisi Toplama\n\n**Definition:** Sürekli üretilen verilerin anlık veya anlığa yakın biçimde sisteme alınması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/akis-verisi-toplama","slug":"akis-verisi-toplama","lang":"tr","title":"Akış Verisi Toplama","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:25.992Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.373Z","tags":["Streaming","Real-Time Data","Telemetry","Data Ingestion"]}},{"page_content":"# Streaming Data Collection\n\n**Definition:** An approach for ingesting continuously generated data in real time or near real time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/akis-verisi-toplama","slug":"akis-verisi-toplama","lang":"en","title":"Streaming Data Collection","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:25.992Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.373Z","tags":["Streaming","Real-Time Data","Telemetry","Data Ingestion"]}},{"page_content":"# Aktif Öğrenme\n\n**Definition:** Modelin en bilgilendirici örnekleri seçerek insan veya uzman kaynaktan etiket istediği veri verimliliği yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/aktif-ogrenme","slug":"aktif-ogrenme","lang":"tr","title":"Aktif Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:04:02.112Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.869Z","tags":["Active Learning","Etiketleme","Verimlilik","Anotasyon"]}},{"page_content":"# Active Learning\n\n**Definition:** A data-efficiency approach in which the model selects the most informative examples and requests labels from a human or expert source.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/aktif-ogrenme","slug":"aktif-ogrenme","lang":"en","title":"Active Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:04:02.112Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.869Z","tags":["Active Learning","Etiketleme","Verimlilik","Anotasyon"]}},{"page_content":"# Algılama\n\n**Definition:** Ham girdilerin anlamlı yapılara dönüştürülmesi ve sistemin çevreyi yorumlayabilmesini sağlayan temel yetenek.","metadata":{"source":"https://sukruyusufkaya.com/glossary/algilama","slug":"algilama","lang":"tr","title":"Algılama","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:13:41.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.139Z","tags":["Perception","Algılama","Sensör","Girdi"]}},{"page_content":"# Perception\n\n**Definition:** The core capability of transforming raw inputs into meaningful structures so the system can interpret its environment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/algilama","slug":"algilama","lang":"en","title":"Perception","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:13:41.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.139Z","tags":["Perception","Algılama","Sensör","Girdi"]}},{"page_content":"# Çeviride Hizalama\n\n**Definition:** Kaynak metindeki hangi parçaların hedef dilde hangi parçalara karşılık geldiğini modelleyen kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/alignment-in-translation","slug":"alignment-in-translation","lang":"tr","title":"Çeviride Hizalama","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:17:28.717Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.753Z","tags":["Alignment","Translation","Attention","Multilingual Models"]}},{"page_content":"# Alignment in Translation\n\n**Definition:** A concept that models which parts of the source text correspond to which parts in the target language.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/alignment-in-translation","slug":"alignment-in-translation","lang":"en","title":"Alignment in Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:17:28.717Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.753Z","tags":["Alignment","Translation","Attention","Multilingual Models"]}},{"page_content":"# Alternatif Hipotez\n\n**Definition:** Sıfır hipotezinin tersine, veride anlamlı bir etki, fark veya ilişki bulunduğunu savunan hipotez.","metadata":{"source":"https://sukruyusufkaya.com/glossary/alternatif-hipotez","slug":"alternatif-hipotez","lang":"tr","title":"Alternatif Hipotez","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:24.110Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.600Z","tags":["Alternative Hypothesis","Testing","Effect","Research Design"]}},{"page_content":"# Alternative Hypothesis\n\n**Definition:** The hypothesis that argues there is a meaningful effect, difference, or relationship in the data, in contrast to the null hypothesis.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/alternatif-hipotez","slug":"alternatif-hipotez","lang":"en","title":"Alternative Hypothesis","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:24.110Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.600Z","tags":["Alternative Hypothesis","Testing","Effect","Research Design"]}},{"page_content":"# Sürekli Açık Ses Tespiti\n\n**Definition:** Cihazın sürekli dinleme modunda düşük güçle ses olaylarını algılamasını sağlayan sistem yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/always-on-audio-detection","slug":"always-on-audio-detection","lang":"tr","title":"Sürekli Açık Ses Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:57.450Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.860Z","tags":["Always-On Audio","Low Power","Keyword Spotting","Embedded Systems"]}},{"page_content":"# Always-On Audio Detection\n\n**Definition:** A system approach that enables low-power sound event detection while a device remains in continuous listening mode.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/always-on-audio-detection","slug":"always-on-audio-detection","lang":"en","title":"Always-On Audio Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:57.450Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.860Z","tags":["Always-On Audio","Low Power","Keyword Spotting","Embedded Systems"]}},{"page_content":"# Anakitle ve Örneklem\n\n**Definition:** Tüm ilgi alanını temsil eden büyük küme ile bu kümeden analiz için seçilen alt küme arasındaki temel istatistiksel ayrım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/anakitle-ve-orneklem","slug":"anakitle-ve-orneklem","lang":"tr","title":"Anakitle ve Örneklem","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:19:16.956Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.586Z","tags":["Population","Sample","İstatistik","Temsil"]}},{"page_content":"# Population and Sample\n\n**Definition:** The core statistical distinction between the full target group and the subset selected from it for analysis.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/anakitle-ve-orneklem","slug":"anakitle-ve-orneklem","lang":"en","title":"Population and Sample","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:19:16.956Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.586Z","tags":["Population","Sample","İstatistik","Temsil"]}},{"page_content":"# Anchor Box\n\n**Definition:** Farklı ölçek ve oranlardaki hazır kutu adaylarını kullanarak nesne tespitini kolaylaştıran tasarım yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/anchor-boxes","slug":"anchor-boxes","lang":"tr","title":"Anchor Box","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:27.939Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.374Z","tags":["Anchor Boxes","Detection","Localization","Vision Models"]}},{"page_content":"# Anchor Boxes\n\n**Definition:** A design approach that facilitates object detection by using predefined candidate boxes of different scales and aspect ratios.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/anchor-boxes","slug":"anchor-boxes","lang":"en","title":"Anchor Boxes","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:27.939Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.374Z","tags":["Anchor Boxes","Detection","Localization","Vision Models"]}},{"page_content":"# Anonimleştirme\n\n**Definition:** Kişisel verilerin belirli bir bireyle yeniden ilişkilendirilemeyecek şekilde dönüştürülmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/anonimlestirme","slug":"anonimlestirme","lang":"tr","title":"Anonimleştirme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:16:59.890Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.564Z","tags":["Anonymization","Privacy","PII","Data Protection"]}},{"page_content":"# Anonymization\n\n**Definition:** The process of transforming personal data so that it can no longer be linked back to a specific individual.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/anonimlestirme","slug":"anonimlestirme","lang":"en","title":"Anonymization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:16:59.890Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.564Z","tags":["Anonymization","Privacy","PII","Data Protection"]}},{"page_content":"# Anotasyon\n\n**Definition:** Veriye anlamlı etiket, açıklama veya işaretleme eklenerek model eğitimi için kullanılabilir hale getirilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/anotasyon","slug":"anotasyon","lang":"tr","title":"Anotasyon","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:49.266Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.707Z","tags":["Annotation","Etiketleme","Veri Hazırlığı","Kalite"]}},{"page_content":"# Annotation\n\n**Definition:** The process of adding meaningful labels, notes, or markings to data so that it becomes usable for model training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/anotasyon","slug":"anotasyon","lang":"en","title":"Annotation","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:49.266Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.707Z","tags":["Annotation","Etiketleme","Veri Hazırlığı","Kalite"]}},{"page_content":"# ANOVA\n\n**Definition:** Birden fazla grubun ortalamaları arasında anlamlı fark olup olmadığını test etmek için kullanılan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/anova","slug":"anova","lang":"tr","title":"ANOVA","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:54:10.231Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.790Z","tags":["ANOVA","Group Comparison","Testing","Experiments"]}},{"page_content":"# ANOVA\n\n**Definition:** A method used to test whether there are meaningful differences among the means of multiple groups.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/anova","slug":"anova","lang":"en","title":"ANOVA","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:54:10.231Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.790Z","tags":["ANOVA","Group Comparison","Testing","Experiments"]}},{"page_content":"# Yanıt Doğrulama\n\n**Definition:** Üretilen cevabın kaynak, mantık veya ek model denetimiyle doğrulanmasını amaçlayan güvenlik katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/answer-verification","slug":"answer-verification","lang":"tr","title":"Yanıt Doğrulama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:20:53.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.186Z","tags":["Answer Verification","QA","RAG","Reliability"]}},{"page_content":"# Answer Verification\n\n**Definition:** A safety layer that aims to verify a generated answer through source evidence, logic checks, or additional model scrutiny.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/answer-verification","slug":"answer-verification","lang":"en","title":"Answer Verification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:20:53.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.186Z","tags":["Answer Verification","QA","RAG","Reliability"]}},{"page_content":"# Yaklaşık En Yakın Komşu Arama\n\n**Definition:** Yüksek boyutlu vektör uzaylarında tam doğruluk yerine yüksek hız ve kabul edilebilir yakınlık sağlayan arama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/approximate-nearest-neighbor","slug":"approximate-nearest-neighbor","lang":"tr","title":"Yaklaşık En Yakın Komşu Arama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:17:29.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.595Z","tags":["ANN","Vector Search","Performance","Embeddings"]}},{"page_content":"# Approximate Nearest Neighbor Search\n\n**Definition:** A search approach in high-dimensional vector spaces that prioritizes speed and acceptable proximity over exactness.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/approximate-nearest-neighbor","slug":"approximate-nearest-neighbor","lang":"en","title":"Approximate Nearest Neighbor Search","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:17:29.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.595Z","tags":["ANN","Vector Search","Performance","Embeddings"]}},{"page_content":"# Arama Uzayı\n\n**Definition:** Bir problemin tüm olası durumlarını, çözüm yollarını ve eylem kombinasyonlarını kapsayan kavramsal alan.","metadata":{"source":"https://sukruyusufkaya.com/glossary/arama-uzayi","slug":"arama-uzayi","lang":"tr","title":"Arama Uzayı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:57.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:23.943Z","tags":["Search Space","Problem Çözme","Arama","Durum"]}},{"page_content":"# Search Space\n\n**Definition:** The conceptual space that contains all possible states, solution paths, and action combinations of a problem.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/arama-uzayi","slug":"arama-uzayi","lang":"en","title":"Search Space","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:57.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:23.943Z","tags":["Search Space","Problem Çözme","Arama","Durum"]}},{"page_content":"# ARIMA\n\n**Definition:** Otoregresif ve hareketli ortalama bileşenlerini birleştirerek zaman serisi tahmini yapan klasik model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/arima","slug":"arima","lang":"tr","title":"ARIMA","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:11.726Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.773Z","tags":["ARIMA","Time Series","Forecasting","Classical Models"]}},{"page_content":"# ARIMA\n\n**Definition:** A classical model for time series forecasting that combines autoregressive and moving-average components.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/arima","slug":"arima","lang":"en","title":"ARIMA","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:11.726Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.773Z","tags":["ARIMA","Time Series","Forecasting","Classical Models"]}},{"page_content":"# Aspect Tabanlı Duygu Analizi\n\n**Definition:** Genel duygu yerine metindeki belirli özellikler veya varlık yönleri için duygu tahmini yapan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/aspect-based-sentiment-analysis","slug":"aspect-based-sentiment-analysis","lang":"tr","title":"Aspect Tabanlı Duygu Analizi","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:47.446Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.475Z","tags":["Aspect-Based Sentiment","Opinion Mining","Customer Analytics","NLP"]}},{"page_content":"# Aspect-Based Sentiment Analysis\n\n**Definition:** An approach that predicts sentiment for specific aspects or entity dimensions rather than overall sentiment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/aspect-based-sentiment-analysis","slug":"aspect-based-sentiment-analysis","lang":"en","title":"Aspect-Based Sentiment Analysis","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:47.446Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.475Z","tags":["Aspect-Based Sentiment","Opinion Mining","Customer Analytics","NLP"]}},{"page_content":"# Attention\n\n**Definition:** Modelin karar verirken girdinin hangi bölümlerine daha fazla odaklanacağını öğrenmesini sağlayan mekanizma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/attention","slug":"attention","lang":"tr","title":"Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:43.741Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.617Z","tags":["Attention","Context Modeling","Deep Learning","Sequence Models"]}},{"page_content":"# Attention\n\n**Definition:** A mechanism that enables a model to learn which parts of the input deserve more focus during prediction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/attention","slug":"attention","lang":"en","title":"Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:43.741Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.617Z","tags":["Attention","Context Modeling","Deep Learning","Sequence Models"]}},{"page_content":"# Attention Mask\n\n**Definition:** Modelin dikkat hesaplamasında hangi konumları görebileceğini veya göremeyeceğini belirleyen kontrol yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/attention-mask","slug":"attention-mask","lang":"tr","title":"Attention Mask","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:02.641Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.922Z","tags":["Attention Mask","Transformers","Masking","Sequence Models"]}},{"page_content":"# Attention Mask\n\n**Definition:** A control mechanism that determines which positions a model may or may not attend to during attention computation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/attention-mask","slug":"attention-mask","lang":"en","title":"Attention Mask","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:02.641Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.922Z","tags":["Attention Mask","Transformers","Masking","Sequence Models"]}},{"page_content":"# Attention Skor Matrisi\n\n**Definition:** Bir sekans içindeki öğelerin birbirine ne kadar dikkat vereceğini sayısal olarak temsil eden matris yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/attention-score-matrix","slug":"attention-score-matrix","lang":"tr","title":"Attention Skor Matrisi","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:02.708Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.247Z","tags":["Attention Scores","Interpretability","Transformers","Sequence Modeling"]}},{"page_content":"# Attention Score Matrix\n\n**Definition:** A matrix structure that numerically represents how much each element in a sequence attends to the others.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/attention-score-matrix","slug":"attention-score-matrix","lang":"en","title":"Attention Score Matrix","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:02.708Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.247Z","tags":["Attention Scores","Interpretability","Transformers","Sequence Modeling"]}},{"page_content":"# Ses Embedding Retrieval\n\n**Definition:** Benzer ses kayıtlarını embedding uzayında arayarak akustik arama ve içerik keşfi sağlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/audio-embedding-retrieval","slug":"audio-embedding-retrieval","lang":"tr","title":"Ses Embedding Retrieval","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:45.345Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.313Z","tags":["Audio Embeddings","Retrieval","Similarity Search","Audio AI"]}},{"page_content":"# Audio Embedding Retrieval\n\n**Definition:** An approach that enables acoustic search and content discovery by retrieving similar audio recordings in embedding space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/audio-embedding-retrieval","slug":"audio-embedding-retrieval","lang":"en","title":"Audio Embedding Retrieval","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:45.345Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.313Z","tags":["Audio Embeddings","Retrieval","Similarity Search","Audio AI"]}},{"page_content":"# Ses Etiketleme\n\n**Definition:** Bir ses kaydında hangi ses olaylarının mevcut olduğunu klip düzeyinde tahmin eden çok etiketli görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/audio-tagging","slug":"audio-tagging","lang":"tr","title":"Ses Etiketleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:16.344Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.127Z","tags":["Audio Tagging","Multi-Label Audio","Sound Events","Classification"]}},{"page_content":"# Audio Tagging\n\n**Definition:** A multi-label task that predicts which sound events are present in an audio clip at the clip level.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/audio-tagging","slug":"audio-tagging","lang":"en","title":"Audio Tagging","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:16.344Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.127Z","tags":["Audio Tagging","Multi-Label Audio","Sound Events","Classification"]}},{"page_content":"# Denetim İzi\n\n**Definition:** Veri ve işlem değişikliklerinin kim tarafından, ne zaman ve nasıl yapıldığını kaydeden izleme mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/audit-trail","slug":"audit-trail","lang":"tr","title":"Denetim İzi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:16:30.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.288Z","tags":["Audit Trail","Compliance","Traceability","Governance"]}},{"page_content":"# Audit Trail\n\n**Definition:** A tracking mechanism that records who changed data or processes, when, and how.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/audit-trail","slug":"audit-trail","lang":"en","title":"Audit Trail","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:16:30.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.288Z","tags":["Audit Trail","Compliance","Traceability","Governance"]}},{"page_content":"# Autoencoder\n\n**Definition:** Veriyi sıkıştırıp yeniden üretmeye çalışarak düşük boyutlu temsil öğrenen sinir ağı yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/autoencoder","slug":"autoencoder","lang":"tr","title":"Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T21:19:39.822Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.329Z","tags":["Autoencoder","Latent Space","Representation Learning","Unsupervised Learning"]}},{"page_content":"# Autoencoder\n\n**Definition:** A neural architecture that learns low-dimensional representations by compressing and reconstructing data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/autoencoder","slug":"autoencoder","lang":"en","title":"Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T21:19:39.822Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.329Z","tags":["Autoencoder","Latent Space","Representation Learning","Unsupervised Learning"]}},{"page_content":"# Autoencoder ile Anomali Tespiti\n\n**Definition:** Normal örüntüleri öğrenip yeniden üretim hatası üzerinden anormallikleri tespit eden derin öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/autoencoder-anomaly-detection","slug":"autoencoder-anomaly-detection","lang":"tr","title":"Autoencoder ile Anomali Tespiti","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:56:16.740Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.027Z","tags":["Autoencoder","Anomaly Detection","Deep Learning","Reconstruction Error"]}},{"page_content":"# Autoencoder-Based Anomaly Detection\n\n**Definition:** A deep learning approach that learns normal patterns and detects anomalies through reconstruction error.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/autoencoder-anomaly-detection","slug":"autoencoder-anomaly-detection","lang":"en","title":"Autoencoder-Based Anomaly Detection","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:56:16.740Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.027Z","tags":["Autoencoder","Anomaly Detection","Deep Learning","Reconstruction Error"]}},{"page_content":"# Autoencoder ile Boyut İndirgeme\n\n**Definition:** Sinir ağı tabanlı sıkıştırma yapısıyla verinin daha düşük boyutlu temsillerini öğrenen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/autoencoder-dimensionality-reduction","slug":"autoencoder-dimensionality-reduction","lang":"tr","title":"Autoencoder ile Boyut İndirgeme","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:05.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.585Z","tags":["Autoencoder","Dimensionality Reduction","Deep Learning","Representation Learning"]}},{"page_content":"# Autoencoder-Based Dimensionality Reduction\n\n**Definition:** An approach that learns lower-dimensional representations of data through neural-network-based compression.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/autoencoder-dimensionality-reduction","slug":"autoencoder-dimensionality-reduction","lang":"en","title":"Autoencoder-Based Dimensionality Reduction","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:05.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.585Z","tags":["Autoencoder","Dimensionality Reduction","Deep Learning","Representation Learning"]}},{"page_content":"# Otomatik Konuşma Tanıma\n\n**Definition:** İnsan konuşmasını metne dönüştürmeyi amaçlayan temel speech-to-text görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/automatic-speech-recognition","slug":"automatic-speech-recognition","lang":"tr","title":"Otomatik Konuşma Tanıma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:35.053Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.012Z","tags":["ASR","Speech to Text","Transcription","Audio AI"]}},{"page_content":"# Automatic Speech Recognition\n\n**Definition:** The core speech-to-text task aimed at converting human speech into text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/automatic-speech-recognition","slug":"automatic-speech-recognition","lang":"en","title":"Automatic Speech Recognition","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:35.053Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.012Z","tags":["ASR","Speech to Text","Transcription","Audio AI"]}},{"page_content":"# Otoregresif Çözümleme\n\n**Definition:** Modelin çıktıyı token token, her adımda önceki çıktılara bakarak üretme biçimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/autoregressive-decoding","slug":"autoregressive-decoding","lang":"tr","title":"Otoregresif Çözümleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:44:55.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.162Z","tags":["Autoregressive","Decoding","LLM","Generation"]}},{"page_content":"# Autoregressive Decoding\n\n**Definition:** A generation mode in which the model produces output token by token using previous outputs as context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/autoregressive-decoding","slug":"autoregressive-decoding","lang":"en","title":"Autoregressive Decoding","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:44:55.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.162Z","tags":["Autoregressive","Decoding","LLM","Generation"]}},{"page_content":"# Aykırı Değer\n\n**Definition:** Veri kümesinin genel örüntüsünden belirgin biçimde ayrılan gözlem veya değer.","metadata":{"source":"https://sukruyusufkaya.com/glossary/aykiri-deger","slug":"aykiri-deger","lang":"tr","title":"Aykırı Değer","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:08.500Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.645Z","tags":["Outlier","Cleaning","Anomaly","Data Quality"]}},{"page_content":"# Outlier\n\n**Definition:** An observation or value that deviates noticeably from the general pattern of the dataset.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/aykiri-deger","slug":"aykiri-deger","lang":"en","title":"Outlier","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:08.500Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.645Z","tags":["Outlier","Cleaning","Anomaly","Data Quality"]}},{"page_content":"# Back Translation\n\n**Definition:** Sentetik paralel veri üretmek için hedef dilden kaynak dile geri çeviri yapmaya dayalı veri artırma stratejisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/back-translation","slug":"back-translation","lang":"tr","title":"Back Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:49.127Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.842Z","tags":["Back Translation","Machine Translation","Data Augmentation","Low-Resource NLP"]}},{"page_content":"# Back Translation\n\n**Definition:** A data augmentation strategy based on translating target-language data back into the source language to create synthetic parallel data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/back-translation","slug":"back-translation","lang":"en","title":"Back Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:49.127Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.842Z","tags":["Back Translation","Machine Translation","Data Augmentation","Low-Resource NLP"]}},{"page_content":"# Backfill\n\n**Definition:** Geçmiş dönem verilerinin sonradan yeniden işlenmesi veya eksik tarihsel veri boşluklarının doldurulması işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/backfill","slug":"backfill","lang":"tr","title":"Backfill","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:30.341Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.085Z","tags":["Backfill","Historical Data","Reprocessing","Pipelines"]}},{"page_content":"# Backfill\n\n**Definition:** The process of reprocessing historical periods or filling missing historical data gaps after the fact.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/backfill","slug":"backfill","lang":"en","title":"Backfill","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:30.341Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.085Z","tags":["Backfill","Historical Data","Reprocessing","Pipelines"]}},{"page_content":"# Geri Yayılım\n\n**Definition:** Kayıp fonksiyonunun gradyanını katmanlar boyunca geriye taşıyarak ağırlıkları güncelleyen temel öğrenme mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/backpropagation","slug":"backpropagation","lang":"tr","title":"Geri Yayılım","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:35.440Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.214Z","tags":["Backpropagation","Gradients","Optimization","Deep Learning"]}},{"page_content":"# Backpropagation\n\n**Definition:** The core learning mechanism that propagates loss gradients backward through layers to update weights.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/backpropagation","slug":"backpropagation","lang":"en","title":"Backpropagation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:35.440Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.214Z","tags":["Backpropagation","Gradients","Optimization","Deep Learning"]}},{"page_content":"# Zaman Boyunca Geri Yayılım\n\n**Definition:** Sıralı modellerde aynı ağın zaman adımlarına açılarak gradyanlarının geriye doğru hesaplanması yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/backpropagation-through-time","slug":"backpropagation-through-time","lang":"tr","title":"Zaman Boyunca Geri Yayılım","category":"derin-ogrenme","updatedAt":"2026-06-27T22:59:19.045Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.391Z","tags":["BPTT","RNN","Sequence Learning","Gradients"]}},{"page_content":"# Backpropagation Through Time\n\n**Definition:** A method in sequential models where the network is unrolled across time steps and gradients are computed backward.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/backpropagation-through-time","slug":"backpropagation-through-time","lang":"en","title":"Backpropagation Through Time","category":"derin-ogrenme","updatedAt":"2026-06-27T22:59:19.045Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.391Z","tags":["BPTT","RNN","Sequence Learning","Gradients"]}},{"page_content":"# Bagging\n\n**Definition:** Farklı bootstrap örnekleri üzerinde birden fazla model eğitip sonuçları birleştirerek kararlılığı artıran ensemble yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bagging","slug":"bagging","lang":"tr","title":"Bagging","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:07.026Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.673Z","tags":["Bagging","Ensemble","Bootstrap","Variance Reduction"]}},{"page_content":"# Bagging\n\n**Definition:** An ensemble approach that improves stability by training multiple models on bootstrap samples and combining their outputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bagging","slug":"bagging","lang":"en","title":"Bagging","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:07.026Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.673Z","tags":["Bagging","Ensemble","Bootstrap","Variance Reduction"]}},{"page_content":"# Bağımsızlık\n\n**Definition:** Bir olay ya da değişkenin gerçekleşmesinin diğerinin olasılığını etkilemediği durumu ifade eden kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bagimsizlik","slug":"bagimsizlik","lang":"tr","title":"Bağımsızlık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:36.613Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.131Z","tags":["Independence","Probability","Assumptions","Modeling"]}},{"page_content":"# Independence\n\n**Definition:** A concept describing the case where the occurrence of one event or variable does not affect the probability of another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bagimsizlik","slug":"bagimsizlik","lang":"en","title":"Independence","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:36.613Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.131Z","tags":["Independence","Probability","Assumptions","Modeling"]}},{"page_content":"# Dengeli Batch Örnekleme\n\n**Definition:** Eğitim sırasında her batch içinde sınıf dağılımını daha kontrollü tutarak öğrenmeyi dengeleyen örnekleme stratejisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/balanced-batch-sampling","slug":"balanced-batch-sampling","lang":"tr","title":"Dengeli Batch Örnekleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:24.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.804Z","tags":["Balanced Batch Sampling","Deep Learning","Imbalanced Data","Training"]}},{"page_content":"# Balanced Batch Sampling\n\n**Definition:** A sampling strategy that balances learning by maintaining a more controlled class distribution within each training batch.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/balanced-batch-sampling","slug":"balanced-batch-sampling","lang":"en","title":"Balanced Batch Sampling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:24.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.804Z","tags":["Balanced Batch Sampling","Deep Learning","Imbalanced Data","Training"]}},{"page_content":"# Basıklık\n\n**Definition:** Bir dağılımın kuyruk ağırlığını ve uç değerlere ne kadar açık olduğunu özetleyen ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/basiklik","slug":"basiklik","lang":"tr","title":"Basıklık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:59.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.331Z","tags":["Kurtosis","Outliers","Heavy Tails","Statistics"]}},{"page_content":"# Kurtosis\n\n**Definition:** A measure that summarizes tail heaviness and the tendency of a distribution to produce outliers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/basiklik","slug":"basiklik","lang":"en","title":"Kurtosis","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:59.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.331Z","tags":["Kurtosis","Outliers","Heavy Tails","Statistics"]}},{"page_content":"# Baz\n\n**Definition:** Bir vektör uzayındaki tüm elemanları oluşturabilen doğrusal bağımsız vektör kümesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/basis","slug":"basis","lang":"tr","title":"Baz","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:37:06.123Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.733Z","tags":["Basis","Vector Space","Representation","Linear Algebra"]}},{"page_content":"# Basis\n\n**Definition:** A set of linearly independent vectors capable of generating every element of a vector space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/basis","slug":"basis","lang":"en","title":"Basis","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:37:06.123Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.733Z","tags":["Basis","Vector Space","Representation","Linear Algebra"]}},{"page_content":"# Batch Birikimi\n\n**Definition:** Planlanan batch işlerinin zamanında tamamlanamaması nedeniyle işleme kuyruğunda biriken yük durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/batch-backlog","slug":"batch-backlog","lang":"tr","title":"Batch Birikimi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:19:06.757Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.892Z","tags":["Batch Backlog","Capacity","Scheduling","Operations"]}},{"page_content":"# Batch Backlog\n\n**Definition:** A load condition in which scheduled batch jobs accumulate in the processing queue because they cannot complete on time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/batch-backlog","slug":"batch-backlog","lang":"en","title":"Batch Backlog","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:19:06.757Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.892Z","tags":["Batch Backlog","Capacity","Scheduling","Operations"]}},{"page_content":"# Batch İş\n\n**Definition:** Belirli bir zaman planına göre veya tetikleyiciyle çalışan toplu veri işleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/batch-job","slug":"batch-job","lang":"tr","title":"Batch İş","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:06.397Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.813Z","tags":["Batch Job","Scheduling","Processing","Data Workflow"]}},{"page_content":"# Batch Job\n\n**Definition:** A bulk data processing task that runs according to a schedule or trigger.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/batch-job","slug":"batch-job","lang":"en","title":"Batch Job","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:06.397Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.813Z","tags":["Batch Job","Scheduling","Processing","Data Workflow"]}},{"page_content":"# Batch Normalization\n\n**Definition:** Ara katman aktivasyonlarını mini-batch düzeyinde normalize ederek eğitimi hızlandıran ve kısmen düzenlileştiren teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/batch-normalization","slug":"batch-normalization","lang":"tr","title":"Batch Normalization","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:01.929Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.571Z","tags":["Batch Normalization","Regularization","Optimization","Training Stability"]}},{"page_content":"# Batch Normalization\n\n**Definition:** A technique that normalizes intermediate activations at the mini-batch level to accelerate training and provide partial regularization.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/batch-normalization","slug":"batch-normalization","lang":"en","title":"Batch Normalization","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:01.929Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.571Z","tags":["Batch Normalization","Regularization","Optimization","Training Stability"]}},{"page_content":"# Toplu İşleme\n\n**Definition:** Verinin belirli aralıklarla topluca işlenip sonuçların periyodik olarak üretilmesine dayanan işlem yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/batch-processing","slug":"batch-processing","lang":"tr","title":"Toplu İşleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:17.366Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.722Z","tags":["Batch Processing","Periodic Jobs","Data Engineering","Pipelines"]}},{"page_content":"# Batch Processing\n\n**Definition:** A processing approach in which data is handled in bulk at scheduled intervals and results are produced periodically.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/batch-processing","slug":"batch-processing","lang":"en","title":"Batch Processing","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:17.366Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.722Z","tags":["Batch Processing","Periodic Jobs","Data Engineering","Pipelines"]}},{"page_content":"# Bayes Teoremi\n\n**Definition:** Yeni gözlemler geldikçe bir hipotezin olasılığını güncellemeyi sağlayan temel olasılık teoremi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bayes-teoremi","slug":"bayes-teoremi","lang":"tr","title":"Bayes Teoremi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:53.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.308Z","tags":["Bayes Theorem","Belief Update","Probability","Inference"]}},{"page_content":"# Bayes' Theorem\n\n**Definition:** A fundamental probability theorem that allows updating the probability of a hypothesis as new observations arrive.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bayes-teoremi","slug":"bayes-teoremi","lang":"en","title":"Bayes' Theorem","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:53.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.308Z","tags":["Bayes Theorem","Belief Update","Probability","Inference"]}},{"page_content":"# Bayesyen Doğrusal Regresyon\n\n**Definition:** Model parametrelerini sabit değerler yerine olasılık dağılımları olarak ele alan doğrusal regresyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bayesian-linear-regression","slug":"bayesian-linear-regression","lang":"tr","title":"Bayesyen Doğrusal Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:47.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.735Z","tags":["Bayesian Regression","Uncertainty","Probabilistic Models","Inference"]}},{"page_content":"# Bayesian Linear Regression\n\n**Definition:** A linear regression approach that treats model parameters as probability distributions rather than fixed values.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bayesian-linear-regression","slug":"bayesian-linear-regression","lang":"en","title":"Bayesian Linear Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:47.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.735Z","tags":["Bayesian Regression","Uncertainty","Probabilistic Models","Inference"]}},{"page_content":"# Bayesyen Ağ\n\n**Definition:** Değişkenler arasındaki koşullu bağımlılıkları yönlü grafik yapısıyla temsil eden olasılıksal model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bayesian-network","slug":"bayesian-network","lang":"tr","title":"Bayesyen Ağ","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:52:53.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.824Z","tags":["Bayesian Network","Probabilistic Graphical Models","Inference","Uncertainty"]}},{"page_content":"# Bayesian Network\n\n**Definition:** A probabilistic model that represents conditional dependencies among variables through a directed graph structure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bayesian-network","slug":"bayesian-network","lang":"en","title":"Bayesian Network","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:52:53.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.824Z","tags":["Bayesian Network","Probabilistic Graphical Models","Inference","Uncertainty"]}},{"page_content":"# Bayesyen Optimizasyon\n\n**Definition:** Geçmiş denemelerden öğrenerek yeni hiperparametre adaylarını akıllı biçimde seçen örnek verimli optimizasyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bayesian-optimization","slug":"bayesian-optimization","lang":"tr","title":"Bayesyen Optimizasyon","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:17.907Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.489Z","tags":["Bayesian Optimization","Hyperparameter Tuning","AutoML","Sample Efficiency"]}},{"page_content":"# Bayesian Optimization\n\n**Definition:** A sample-efficient optimization method that intelligently selects new hyperparameter candidates by learning from past trials.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bayesian-optimization","slug":"bayesian-optimization","lang":"en","title":"Bayesian Optimization","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:17.907Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.489Z","tags":["Bayesian Optimization","Hyperparameter Tuning","AutoML","Sample Efficiency"]}},{"page_content":"# Beamforming\n\n**Definition:** Birden fazla mikrofon sinyalini yönlü biçimde birleştirerek hedef kaynağı güçlendiren uzamsal ses işleme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/beamforming","slug":"beamforming","lang":"tr","title":"Beamforming","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:19.392Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.317Z","tags":["Beamforming","Microphone Arrays","Spatial Audio","Noise Reduction"]}},{"page_content":"# Beamforming\n\n**Definition:** A spatial audio processing technique that combines multiple microphone signals directionally to enhance a target source.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/beamforming","slug":"beamforming","lang":"en","title":"Beamforming","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:19.392Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.317Z","tags":["Beamforming","Microphone Arrays","Spatial Audio","Noise Reduction"]}},{"page_content":"# Beklenen Değer\n\n**Definition:** Bir rastgele değişkenin uzun vadede ortalama olarak hangi değere yakınsamasının beklendiğini gösteren ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/beklenen-deger","slug":"beklenen-deger","lang":"tr","title":"Beklenen Değer","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:46.133Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.493Z","tags":["Expected Value","Average","Risk","Decision Theory"]}},{"page_content":"# Expected Value\n\n**Definition:** A measure indicating the long-run average value a random variable is expected to approach.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/beklenen-deger","slug":"beklenen-deger","lang":"en","title":"Expected Value","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:46.133Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.493Z","tags":["Expected Value","Average","Risk","Decision Theory"]}},{"page_content":"# Benchmark\n\n**Definition:** Farklı modellerin aynı görev altında karşılaştırılmasını sağlayan standart veri, metrik ve değerlendirme çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/benchmark","slug":"benchmark","lang":"tr","title":"Benchmark","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:46.871Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.727Z","tags":["Benchmark","Değerlendirme","Karşılaştırma","Metrik"]}},{"page_content":"# Benchmark\n\n**Definition:** A standardized framework of data, metrics, and evaluation used to compare different models on the same task.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/benchmark","slug":"benchmark","lang":"en","title":"Benchmark","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:46.871Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.727Z","tags":["Benchmark","Değerlendirme","Karşılaştırma","Metrik"]}},{"page_content":"# Benzerlik\n\n**Definition:** İki örneğin ne kadar yakın, ilişkili veya anlam bakımından benzer olduğunu ölçen temel kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/benzerlik","slug":"benzerlik","lang":"tr","title":"Benzerlik","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:40:54.217Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.896Z","tags":["Similarity","Semantik","Retrieval","Embedding"]}},{"page_content":"# Similarity\n\n**Definition:** A core concept used to measure how close, related, or semantically similar two examples are.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/benzerlik","slug":"benzerlik","lang":"en","title":"Similarity","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:40:54.217Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.896Z","tags":["Similarity","Semantik","Retrieval","Embedding"]}},{"page_content":"# Bernoulli Dağılımı\n\n**Definition:** Yalnızca iki olası sonuca sahip tek adımlı rastgele deneyleri modelleyen ayrık dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bernoulli-dagilimi","slug":"bernoulli-dagilimi","lang":"tr","title":"Bernoulli Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:44.403Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.136Z","tags":["Bernoulli","Binary","Classification","Discrete Distribution"]}},{"page_content":"# Bernoulli Distribution\n\n**Definition:** A discrete distribution that models single-step random experiments with only two possible outcomes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bernoulli-dagilimi","slug":"bernoulli-dagilimi","lang":"en","title":"Bernoulli Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:44.403Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.136Z","tags":["Bernoulli","Binary","Classification","Discrete Distribution"]}},{"page_content":"# Beta Dağılımı\n\n**Definition:** 0 ile 1 arasındaki oranları ve olasılıkları modellemek için son derece uygun sürekli dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/beta-dagilimi","slug":"beta-dagilimi","lang":"tr","title":"Beta Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:27.088Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.039Z","tags":["Beta Distribution","Probability","Bayesian","Proportion"]}},{"page_content":"# Beta Distribution\n\n**Definition:** A continuous distribution especially well suited for modeling proportions and probabilities between 0 and 1.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/beta-dagilimi","slug":"beta-dagilimi","lang":"en","title":"Beta Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:27.088Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.039Z","tags":["Beta Distribution","Probability","Bayesian","Proportion"]}},{"page_content":"# Beta-VAE\n\n**Definition:** Latent uzayda daha ayrışmış faktörler öğrenmek için VAE düzenlileştirmesini güçlendiren varyasyonel model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/beta-vae","slug":"beta-vae","lang":"tr","title":"Beta-VAE","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:35.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.460Z","tags":["Beta-VAE","Disentanglement","Latent Space","Generative Models"]}},{"page_content":"# Beta-VAE\n\n**Definition:** A variational model that strengthens VAE regularization to learn more disentangled factors in latent space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/beta-vae","slug":"beta-vae","lang":"en","title":"Beta-VAE","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:35.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.460Z","tags":["Beta-VAE","Disentanglement","Latent Space","Generative Models"]}},{"page_content":"# BFGS\n\n**Definition:** İkinci türev bilgisini yaklaşık olarak kullanarak verimli yakınsama sağlayan kuazi-Newton optimizasyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bfgs","slug":"bfgs","lang":"tr","title":"BFGS","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:42.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.154Z","tags":["BFGS","Quasi-Newton","Optimization","Second Order"]}},{"page_content":"# BFGS\n\n**Definition:** A quasi-Newton optimization method that approximates second-order information to achieve efficient convergence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bfgs","slug":"bfgs","lang":"en","title":"BFGS","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:42.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.154Z","tags":["BFGS","Quasi-Newton","Optimization","Second Order"]}},{"page_content":"# Yanlılık (Bias)\n\n**Definition:** Bir kestiricinin gerçek değerden sistematik olarak sapma eğilimini ifade eden istatistiksel kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bias","slug":"bias","lang":"tr","title":"Yanlılık (Bias)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:32:34.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.489Z","tags":["Bias","Estimator","Error","Modeling"]}},{"page_content":"# Bias\n\n**Definition:** A statistical concept describing the tendency of an estimator to systematically deviate from the true value.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bias","slug":"bias","lang":"en","title":"Bias","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:32:34.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.489Z","tags":["Bias","Estimator","Error","Modeling"]}},{"page_content":"# BIC\n\n**Definition:** Model uyumunu değerlendirirken karmaşıklığa daha güçlü ceza uygulayan model seçim kriteri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bic","slug":"bic","lang":"tr","title":"BIC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:56:08.116Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:51.144Z","tags":["BIC","Model Selection","Complexity Penalty","Statistics"]}},{"page_content":"# BIC\n\n**Definition:** A model selection criterion that applies a stronger penalty for complexity while evaluating model fit.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bic","slug":"bic","lang":"en","title":"BIC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:56:08.116Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:51.144Z","tags":["BIC","Model Selection","Complexity Penalty","Statistics"]}},{"page_content":"# Çift Yönlü RNN\n\n**Definition:** Sekans bilgisini hem geçmişten geleceğe hem gelecekten geçmişe işleyerek daha zengin bağlam sağlayan RNN yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bidirectional-rnn","slug":"bidirectional-rnn","lang":"tr","title":"Çift Yönlü RNN","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:17.512Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.498Z","tags":["Bidirectional RNN","Context","Sequence Labeling","RNN"]}},{"page_content":"# Bidirectional RNN\n\n**Definition:** An RNN structure that processes sequence information in both forward and backward directions to provide richer context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bidirectional-rnn","slug":"bidirectional-rnn","lang":"en","title":"Bidirectional RNN","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:17.512Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.498Z","tags":["Bidirectional RNN","Context","Sequence Labeling","RNN"]}},{"page_content":"# Bilgi Kazancı\n\n**Definition:** Bir özelliğin, belirsizliği ne kadar azalttığını ölçen ve özellikle karar ağaçlarında kullanılan bilgi teorisi kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bilgi-kazanci","slug":"bilgi-kazanci","lang":"tr","title":"Bilgi Kazancı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:40.913Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.597Z","tags":["Information Gain","Decision Trees","Entropy","Feature Selection"]}},{"page_content":"# Information Gain\n\n**Definition:** An information-theoretic concept that measures how much uncertainty a feature reduces, especially in decision trees.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bilgi-kazanci","slug":"bilgi-kazanci","lang":"en","title":"Information Gain","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:40.913Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.597Z","tags":["Information Gain","Decision Trees","Entropy","Feature Selection"]}},{"page_content":"# Bilgi Miktarı\n\n**Definition:** Tek bir olayın gerçekleşmesiyle elde edilen bilginin miktarını ölçen bilgi teorisi kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bilgi-miktari","slug":"bilgi-miktari","lang":"tr","title":"Bilgi Miktarı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:58.055Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.416Z","tags":["Self-Information","Entropy","Surprise","Probability"]}},{"page_content":"# Self-Information\n\n**Definition:** An information-theoretic concept that measures how much information is gained when a single event occurs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bilgi-miktari","slug":"bilgi-miktari","lang":"en","title":"Self-Information","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:58.055Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.416Z","tags":["Self-Information","Entropy","Surprise","Probability"]}},{"page_content":"# Bilgi Tabanı\n\n**Definition:** Bir sistemin kullandığı olguların, kuralların, ilişkilerin ve alan bilgisinin yapılandırılmış biçimde tutulduğu bilgi deposu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bilgi-tabani","slug":"bilgi-tabani","lang":"tr","title":"Bilgi Tabanı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:39:28.160Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.526Z","tags":["Knowledge Base","Bilgi","Uzman Sistem","RAG"]}},{"page_content":"# Knowledge Base\n\n**Definition:** A structured repository that stores the facts, rules, relationships, and domain knowledge used by a system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bilgi-tabani","slug":"bilgi-tabani","lang":"en","title":"Knowledge Base","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:39:28.160Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.526Z","tags":["Knowledge Base","Bilgi","Uzman Sistem","RAG"]}},{"page_content":"# Bilgi Temsili\n\n**Definition:** Dünya hakkındaki olguların, ilişkilerin ve kuralların makine tarafından işlenebilir yapılara dönüştürülmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bilgi-temsili","slug":"bilgi-temsili","lang":"tr","title":"Bilgi Temsili","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:42:57.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.632Z","tags":["Bilgi","Temsil","Mantık","Çıkarım"]}},{"page_content":"# Knowledge Representation\n\n**Definition:** The approach of transforming facts, relationships, and rules about the world into machine-processable structures.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bilgi-temsili","slug":"bilgi-temsili","lang":"en","title":"Knowledge Representation","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:42:57.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.632Z","tags":["Bilgi","Temsil","Mantık","Çıkarım"]}},{"page_content":"# Binom Dağılımı\n\n**Definition:** Sabit sayıda bağımsız Bernoulli denemesindeki başarı sayısını modelleyen ayrık dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/binom-dagilimi","slug":"binom-dagilimi","lang":"tr","title":"Binom Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:59:05.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.228Z","tags":["Binomial","Discrete Distribution","Success Count","Probability"]}},{"page_content":"# Binomial Distribution\n\n**Definition:** A discrete distribution that models the number of successes in a fixed number of independent Bernoulli trials.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/binom-dagilimi","slug":"binom-dagilimi","lang":"en","title":"Binomial Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:59:05.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.228Z","tags":["Binomial","Discrete Distribution","Success Count","Probability"]}},{"page_content":"# BIO Etiketleme\n\n**Definition:** Varlık sınırlarını başlangıç, iç ve dış etiketleriyle işaretleyen klasik dizi etiketleme şeması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bio-tagging","slug":"bio-tagging","lang":"tr","title":"BIO Etiketleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:52.458Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.750Z","tags":["BIO Tagging","NER","Sequence Labeling","Spans"]}},{"page_content":"# BIO Tagging\n\n**Definition:** A classical sequence-labeling scheme that marks entity boundaries with beginning, inside, and outside tags.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bio-tagging","slug":"bio-tagging","lang":"en","title":"BIO Tagging","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:52.458Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.750Z","tags":["BIO Tagging","NER","Sequence Labeling","Spans"]}},{"page_content":"# Biyoakustik Sınıflandırma\n\n**Definition:** Kuş, böcek, deniz memelisi veya diğer biyolojik ses kaynaklarını otomatik olarak tanıyan çevresel ses analizi görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bioacoustic-classification","slug":"bioacoustic-classification","lang":"tr","title":"Biyoakustik Sınıflandırma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:16.118Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.036Z","tags":["Bioacoustics","Environmental Audio","Species Detection","Audio Classification"]}},{"page_content":"# Bioacoustic Classification\n\n**Definition:** An environmental audio analysis task that automatically recognizes birds, insects, marine mammals, or other biological sound sources.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bioacoustic-classification","slug":"bioacoustic-classification","lang":"en","title":"Bioacoustic Classification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:16.118Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.036Z","tags":["Bioacoustics","Environmental Audio","Species Detection","Audio Classification"]}},{"page_content":"# BIRCH Kümeleme\n\n**Definition:** Büyük veri kümelerinde artımlı ve hafıza verimli biçimde kümeleme yapmaya uygun ağaç tabanlı yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/birch-clustering","slug":"birch-clustering","lang":"tr","title":"BIRCH Kümeleme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:47.501Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.026Z","tags":["BIRCH","Large-Scale Clustering","Incremental Learning","Trees"]}},{"page_content":"# BIRCH Clustering\n\n**Definition:** A tree-based method suited to incremental and memory-efficient clustering on large datasets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/birch-clustering","slug":"birch-clustering","lang":"en","title":"BIRCH Clustering","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:47.501Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.026Z","tags":["BIRCH","Large-Scale Clustering","Incremental Learning","Trees"]}},{"page_content":"# Etkileşim Alanı Analizi\n\n**Definition:** Bir veri değişikliğinin veya arızasının kaç varlığı ve hangi kritik süreçleri etkileyebileceğini ölçen risk analizi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/blast-radius-analysis","slug":"blast-radius-analysis","lang":"tr","title":"Etkileşim Alanı Analizi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:46.135Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.824Z","tags":["Blast Radius","Risk Analysis","Lineage","Production"]}},{"page_content":"# Blast Radius Analysis\n\n**Definition:** A risk analysis approach that measures how many assets and which critical processes may be affected by a data change or failure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/blast-radius-analysis","slug":"blast-radius-analysis","lang":"en","title":"Blast Radius Analysis","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:46.135Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.824Z","tags":["Blast Radius","Risk Analysis","Lineage","Production"]}},{"page_content":"# Bootstrap\n\n**Definition:** Veriden tekrar örnekleme yaparak belirsizlik, güven aralığı ve performans dağılımı tahmini sağlayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bootstrap","slug":"bootstrap","lang":"tr","title":"Bootstrap","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:21.545Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.963Z","tags":["Bootstrap","Resampling","Uncertainty","Evaluation"]}},{"page_content":"# Bootstrap\n\n**Definition:** A method that repeatedly resamples the data to estimate uncertainty, confidence intervals, and performance distributions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bootstrap","slug":"bootstrap","lang":"en","title":"Bootstrap","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:21.545Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.963Z","tags":["Bootstrap","Resampling","Uncertainty","Evaluation"]}},{"page_content":"# Bottleneck Katmanı\n\n**Definition:** Modeli bilgiyi sıkıştırmaya zorlayarak daha öz temsil öğrenmesini sağlayan dar ara katman.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bottleneck-layer","slug":"bottleneck-layer","lang":"tr","title":"Bottleneck Katmanı","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:56.811Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.882Z","tags":["Bottleneck","Autoencoder","Latent Space","Compression"]}},{"page_content":"# Bottleneck Layer\n\n**Definition:** A narrow intermediate layer that forces the model to compress information and learn more compact representations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bottleneck-layer","slug":"bottleneck-layer","lang":"en","title":"Bottleneck Layer","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:56.811Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.882Z","tags":["Bottleneck","Autoencoder","Latent Space","Compression"]}},{"page_content":"# Sınır Duyarlı Segmentasyon\n\n**Definition:** Nesne kenarlarını daha hassas modelleyerek maske kalitesini artırmayı hedefleyen segmentasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/boundary-aware-segmentation","slug":"boundary-aware-segmentation","lang":"tr","title":"Sınır Duyarlı Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:38:42.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.675Z","tags":["Boundary-Aware Segmentation","Masks","Fine Structures","Computer Vision"]}},{"page_content":"# Boundary-Aware Segmentation\n\n**Definition:** A segmentation approach that aims to improve mask quality by modeling object boundaries more precisely.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/boundary-aware-segmentation","slug":"boundary-aware-segmentation","lang":"en","title":"Boundary-Aware Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:38:42.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.675Z","tags":["Boundary-Aware Segmentation","Masks","Fine Structures","Computer Vision"]}},{"page_content":"# Bounding Box Regresyonu\n\n**Definition:** Bir nesnenin görüntü içindeki konumunu ve boyutunu koordinat olarak tahmin eden tespit alt görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/bounding-box-regression","slug":"bounding-box-regression","lang":"tr","title":"Bounding Box Regresyonu","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:21.034Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.265Z","tags":["Bounding Box","Object Detection","Localization","Vision"]}},{"page_content":"# Bounding Box Regression\n\n**Definition:** A detection subtask that predicts an object’s location and size in an image as coordinates.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/bounding-box-regression","slug":"bounding-box-regression","lang":"en","title":"Bounding Box Regression","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:21.034Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.265Z","tags":["Bounding Box","Object Detection","Localization","Vision"]}},{"page_content":"# Boyut İndirgeme\n\n**Definition:** Veriyi temsil eden değişken sayısını bilgi kaybını mümkün olduğunca sınırlayarak azaltma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/boyut-indirgeme","slug":"boyut-indirgeme","lang":"tr","title":"Boyut İndirgeme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:41:00.067Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.805Z","tags":["Dimensionality Reduction","PCA","Temsil","Verimlilik"]}},{"page_content":"# Dimensionality Reduction\n\n**Definition:** An approach that reduces the number of variables representing data while preserving as much useful information as possible.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/boyut-indirgeme","slug":"boyut-indirgeme","lang":"en","title":"Dimensionality Reduction","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:41:00.067Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.805Z","tags":["Dimensionality Reduction","PCA","Temsil","Verimlilik"]}},{"page_content":"# Brier Score\n\n**Definition:** Olasılık tahminlerinin doğruluk ve kalibrasyon kalitesini birlikte değerlendiren skor.","metadata":{"source":"https://sukruyusufkaya.com/glossary/brier-score","slug":"brier-score","lang":"tr","title":"Brier Score","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:58:56.010Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.230Z","tags":["Brier Score","Calibration","Probabilistic Predictions","Evaluation"]}},{"page_content":"# Brier Score\n\n**Definition:** A score that jointly evaluates the accuracy and calibration quality of probabilistic predictions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/brier-score","slug":"brier-score","lang":"en","title":"Brier Score","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:58:56.010Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.230Z","tags":["Brier Score","Calibration","Probabilistic Predictions","Evaluation"]}},{"page_content":"# İş Metadata'sı\n\n**Definition:** Veri varlıklarının iş anlamını, kullanım amacını ve kurumsal tanımlarını açıklayan metadata katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/business-metadata","slug":"business-metadata","lang":"tr","title":"İş Metadata'sı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:47.877Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.722Z","tags":["Business Metadata","Semantics","KPI","Governance"]}},{"page_content":"# Business Metadata\n\n**Definition:** The metadata layer that explains the business meaning, usage purpose, and enterprise definitions of data assets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/business-metadata","slug":"business-metadata","lang":"en","title":"Business Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:47.877Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.722Z","tags":["Business Metadata","Semantics","KPI","Governance"]}},{"page_content":"# Byte Düzeyi Tokenization\n\n**Definition:** Metni karakter yerine bayt düzeyinde parçalara ayırarak çok dilli ve bozulmuş girdilere daha dayanıklı token yapısı oluşturan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/byte-level-tokenization","slug":"byte-level-tokenization","lang":"tr","title":"Byte Düzeyi Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:24.590Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.853Z","tags":["Byte-Level Tokenization","Multilingual NLP","Robustness","LLM"]}},{"page_content":"# Byte-Level Tokenization\n\n**Definition:** An approach that tokenizes text at the byte level rather than character level to build more robust representations for multilingual and noisy input.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/byte-level-tokenization","slug":"byte-level-tokenization","lang":"en","title":"Byte-Level Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:24.590Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.853Z","tags":["Byte-Level Tokenization","Multilingual NLP","Robustness","LLM"]}},{"page_content":"# Byte Pair Encoding\n\n**Definition:** Sık görülen alt parça birleşimlerini öğrenerek veri odaklı alt kelime sözlüğü oluşturan tokenization yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/byte-pair-encoding","slug":"byte-pair-encoding","lang":"tr","title":"Byte Pair Encoding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:39.583Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.048Z","tags":["BPE","Tokenization","Subword Models","Vocabulary"]}},{"page_content":"# Byte Pair Encoding\n\n**Definition:** A tokenization method that builds a data-driven subword vocabulary by learning frequent subunit merges.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/byte-pair-encoding","slug":"byte-pair-encoding","lang":"en","title":"Byte Pair Encoding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:39.583Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.048Z","tags":["BPE","Tokenization","Subword Models","Vocabulary"]}},{"page_content":"# Kalibre Edilmiş Sınıflandırma\n\n**Definition:** Sınıflandırma modelinin olasılık çıktılarının gerçek gözlem oranlarıyla daha uyumlu hale getirilmesini amaçlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/calibrated-classification","slug":"calibrated-classification","lang":"tr","title":"Kalibre Edilmiş Sınıflandırma","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:13.426Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.050Z","tags":["Calibration","Classification","Probabilities","Risk Modeling"]}},{"page_content":"# Calibrated Classification\n\n**Definition:** An approach that aims to make a classifier’s probability outputs more consistent with true observed frequencies.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/calibrated-classification","slug":"calibrated-classification","lang":"en","title":"Calibrated Classification","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:13.426Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.050Z","tags":["Calibration","Classification","Probabilities","Risk Modeling"]}},{"page_content":"# Kanonikleştirme\n\n**Definition:** Aynı bilgiyi taşıyan farklı veri gösterimlerinin tek ve standart bir biçime dönüştürülmesi işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/canonicalization","slug":"canonicalization","lang":"tr","title":"Kanonikleştirme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:40.045Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.143Z","tags":["Canonicalization","Standardization","Cleaning","Integration"]}},{"page_content":"# Canonicalization\n\n**Definition:** The process of converting different representations of the same information into one standard canonical form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/canonicalization","slug":"canonicalization","lang":"en","title":"Canonicalization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:40.045Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.143Z","tags":["Canonicalization","Standardization","Cleaning","Integration"]}},{"page_content":"# Çapraz Entropi Kaybı\n\n**Definition:** Gerçek dağılım ile modelin tahmin ettiği olasılık dağılımı arasındaki uyumsuzluğu ölçen temel sınıflandırma kaybı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/capraz-entropi-kaybi","slug":"capraz-entropi-kaybi","lang":"tr","title":"Çapraz Entropi Kaybı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:53.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.057Z","tags":["Cross Entropy","Classification","Probability","Loss"]}},{"page_content":"# Cross-Entropy Loss\n\n**Definition:** A core classification loss that measures the mismatch between the true distribution and the model’s predicted probability distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/capraz-entropi-kaybi","slug":"capraz-entropi-kaybi","lang":"en","title":"Cross-Entropy Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:53.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.057Z","tags":["Cross Entropy","Classification","Probability","Loss"]}},{"page_content":"# Çarpıklık\n\n**Definition:** Bir dağılımın simetrik olup olmadığını ve hangi yöne doğru kuyruk yaptığını gösteren ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/carpiklik","slug":"carpiklik","lang":"tr","title":"Çarpıklık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:51.341Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.240Z","tags":["Skewness","Distribution Shape","EDA","Statistics"]}},{"page_content":"# Skewness\n\n**Definition:** A measure showing whether a distribution is symmetric and in which direction its tail extends.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/carpiklik","slug":"carpiklik","lang":"en","title":"Skewness","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:51.341Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.240Z","tags":["Skewness","Distribution Shape","EDA","Statistics"]}},{"page_content":"# Katastrofik Unutma\n\n**Definition:** Modelin yeni görevlere uyarlanırken önceki genel yeteneklerinin bir kısmını kaybetmesi problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/catastrophic-forgetting","slug":"catastrophic-forgetting","lang":"tr","title":"Katastrofik Unutma","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:28.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.033Z","tags":["Catastrophic Forgetting","Fine-Tuning","Generalization","LLM"]}},{"page_content":"# Catastrophic Forgetting\n\n**Definition:** The problem in which a model loses some of its prior general abilities while being adapted to new tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/catastrophic-forgetting","slug":"catastrophic-forgetting","lang":"en","title":"Catastrophic Forgetting","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:28.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.033Z","tags":["Catastrophic Forgetting","Fine-Tuning","Generalization","LLM"]}},{"page_content":"# CatBoost\n\n**Definition:** Kategorik değişkenleri etkili biçimde işleyebilen ve boosting yapısını bu avantajla birleştiren gelişmiş ensemble yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/catboost","slug":"catboost","lang":"tr","title":"CatBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:25.345Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.661Z","tags":["CatBoost","Boosting","Categorical Features","Tabular ML"]}},{"page_content":"# CatBoost\n\n**Definition:** An advanced ensemble method that combines boosting with strong native handling of categorical variables.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/catboost","slug":"catboost","lang":"en","title":"CatBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:25.345Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.661Z","tags":["CatBoost","Boosting","Categorical Features","Tabular ML"]}},{"page_content":"# Nedensel Attention\n\n**Definition:** Bir tokenın yalnızca kendisinden önceki konumlara bakmasına izin veren otoregresif dikkat yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/causal-attention","slug":"causal-attention","lang":"tr","title":"Nedensel Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:00:30.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.833Z","tags":["Causal Attention","Autoregressive Models","LLM","Masking"]}},{"page_content":"# Causal Attention\n\n**Definition:** An autoregressive attention structure that allows a token to attend only to positions at or before itself.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/causal-attention","slug":"causal-attention","lang":"en","title":"Causal Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:00:30.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.833Z","tags":["Causal Attention","Autoregressive Models","LLM","Masking"]}},{"page_content":"# Causal Language Modeling\n\n**Definition:** Bir sonraki tokenı yalnızca önceki bağlama bakarak tahmin etmeye dayanan otoregresif öğrenme hedefi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/causal-language-modeling","slug":"causal-language-modeling","lang":"tr","title":"Causal Language Modeling","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:42.355Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.808Z","tags":["Causal LM","Autoregressive Modeling","LLM","Generation"]}},{"page_content":"# Causal Language Modeling\n\n**Definition:** An autoregressive learning objective based on predicting the next token using only previous context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/causal-language-modeling","slug":"causal-language-modeling","lang":"en","title":"Causal Language Modeling","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:42.355Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.808Z","tags":["Causal LM","Autoregressive Modeling","LLM","Generation"]}},{"page_content":"# Hücre Durumu\n\n**Definition:** LSTM mimarisinde uzun dönem bilgiyi daha doğrudan taşıyan hafıza yolu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cell-state","slug":"cell-state","lang":"tr","title":"Hücre Durumu","category":"derin-ogrenme","updatedAt":"2026-06-27T22:56:07.700Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.390Z","tags":["Cell State","LSTM","Memory","Sequence Learning"]}},{"page_content":"# Cell State\n\n**Definition:** A memory pathway in LSTM architectures that carries long-term information more directly.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cell-state","slug":"cell-state","lang":"en","title":"Cell State","category":"derin-ogrenme","updatedAt":"2026-06-27T22:56:07.700Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.390Z","tags":["Cell State","LSTM","Memory","Sequence Learning"]}},{"page_content":"# Çevrimiçi Öğrenme\n\n**Definition:** Modelin veriye tek seferde değil, zaman içinde akış halinde gelen yeni örneklerle artımlı olarak güncellendiği öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cevrimici-ogrenme","slug":"cevrimici-ogrenme","lang":"tr","title":"Çevrimiçi Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:26.242Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.965Z","tags":["Online Learning","Akış Verisi","Uyum","Gerçek Zamanlı"]}},{"page_content":"# Online Learning\n\n**Definition:** A learning approach in which the model is updated incrementally with new examples arriving over time rather than all at once.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cevrimici-ogrenme","slug":"cevrimici-ogrenme","lang":"en","title":"Online Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:26.242Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.965Z","tags":["Online Learning","Akış Verisi","Uyum","Gerçek Zamanlı"]}},{"page_content":"# Chain-of-Thought Prompting\n\n**Definition:** Modeli nihai cevaptan önce ara düşünme adımları üretmeye teşvik eden prompting yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/chain-of-thought-prompting","slug":"chain-of-thought-prompting","lang":"tr","title":"Chain-of-Thought Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:49:06.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.909Z","tags":["Chain-of-Thought","Prompting","Reasoning","LLM"]}},{"page_content":"# Chain-of-Thought Prompting\n\n**Definition:** A prompting approach that encourages the model to generate intermediate reasoning steps before the final answer.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/chain-of-thought-prompting","slug":"chain-of-thought-prompting","lang":"en","title":"Chain-of-Thought Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:49:06.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.909Z","tags":["Chain-of-Thought","Prompting","Reasoning","LLM"]}},{"page_content":"# Zincir Kuralı\n\n**Definition:** Bileşik fonksiyonların türevini hesaplamaya yarayan ve geri yayılımın matematiksel temelini oluşturan kural.","metadata":{"source":"https://sukruyusufkaya.com/glossary/chain-rule","slug":"chain-rule","lang":"tr","title":"Zincir Kuralı","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:22.693Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.205Z","tags":["Chain Rule","Backpropagation","Calculus","Gradients"]}},{"page_content":"# Chain Rule\n\n**Definition:** The rule for computing derivatives of composed functions and the mathematical foundation of backpropagation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/chain-rule","slug":"chain-rule","lang":"en","title":"Chain Rule","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:22.693Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.205Z","tags":["Chain Rule","Backpropagation","Calculus","Gradients"]}},{"page_content":"# Change Data Capture\n\n**Definition:** Kaynak sistemlerdeki veri değişimlerini gerçek zamanlıya yakın biçimde izleyip aşağı akış sistemlere aktarma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/change-data-capture","slug":"change-data-capture","lang":"tr","title":"Change Data Capture","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:41.697Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.615Z","tags":["CDC","Streaming","Pipelines","Data Ingestion"]}},{"page_content":"# Change Data Capture\n\n**Definition:** An approach for tracking data changes in source systems and propagating them to downstream systems in near real time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/change-data-capture","slug":"change-data-capture","lang":"en","title":"Change Data Capture","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:41.697Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.615Z","tags":["CDC","Streaming","Pipelines","Data Ingestion"]}},{"page_content":"# Değişim Yayılım Analizi\n\n**Definition:** Bir veri varlığındaki veya iş mantığındaki değişikliğin platform boyunca nasıl yayılacağını analiz etme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/change-propagation-analysis","slug":"change-propagation-analysis","lang":"tr","title":"Değişim Yayılım Analizi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:03.639Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.734Z","tags":["Change Propagation","Impact Analysis","Lineage","Platform Governance"]}},{"page_content":"# Change Propagation Analysis\n\n**Definition:** The process of analyzing how a change in a data asset or business logic will propagate across the platform.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/change-propagation-analysis","slug":"change-propagation-analysis","lang":"en","title":"Change Propagation Analysis","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:03.639Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.734Z","tags":["Change Propagation","Impact Analysis","Lineage","Platform Governance"]}},{"page_content":"# Kanal Attention\n\n**Definition:** Tüm özellik kanallarını eşit görmek yerine daha bilgilendirici kanalları vurgulayan dikkat mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/channel-attention","slug":"channel-attention","lang":"tr","title":"Kanal Attention","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:31.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.526Z","tags":["Channel Attention","CNN","Feature Selection","Vision"]}},{"page_content":"# Channel Attention\n\n**Definition:** An attention mechanism that emphasizes more informative feature channels rather than treating all of them equally.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/channel-attention","slug":"channel-attention","lang":"en","title":"Channel Attention","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:31.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.526Z","tags":["Channel Attention","CNN","Feature Selection","Vision"]}},{"page_content":"# Kanal Telafisi\n\n**Definition:** Mikrofon, hat kalitesi veya kayıt ortamı farklarından kaynaklanan ses varyasyonlarını azaltmaya yönelik speaker recognition yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/channel-compensation","slug":"channel-compensation","lang":"tr","title":"Kanal Telafisi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:31.440Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.754Z","tags":["Channel Compensation","Speaker Recognition","Domain Shift","Voice Biometrics"]}},{"page_content":"# Channel Compensation\n\n**Definition:** A speaker recognition approach aimed at reducing voice variation caused by microphone, transmission, or recording-environment differences.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/channel-compensation","slug":"channel-compensation","lang":"en","title":"Channel Compensation","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:31.440Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.754Z","tags":["Channel Compensation","Speaker Recognition","Domain Shift","Voice Biometrics"]}},{"page_content":"# Grafik ve Çizelge Anlama\n\n**Definition:** Çubuk grafik, çizgi grafik veya benzeri görsel sunumları yapısal veriye ve anlamsal yoruma dönüştüren görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/chart-understanding","slug":"chart-understanding","lang":"tr","title":"Grafik ve Çizelge Anlama","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:13.220Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.874Z","tags":["Chart Understanding","Document AI","Visual Analytics","Structured Extraction"]}},{"page_content":"# Chart Understanding\n\n**Definition:** A task that converts bar charts, line graphs, and similar visual presentations into structured data and semantic interpretation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/chart-understanding","slug":"chart-understanding","lang":"en","title":"Chart Understanding","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:13.220Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.874Z","tags":["Chart Understanding","Document AI","Visual Analytics","Structured Extraction"]}},{"page_content":"# Checkpointed Backpropagation\n\n**Definition:** Bellek kullanımını azaltmak için bazı ara aktivasyonları saklamayıp gerektiğinde yeniden hesaplayan eğitim tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/checkpointed-backpropagation","slug":"checkpointed-backpropagation","lang":"tr","title":"Checkpointed Backpropagation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:21.880Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.990Z","tags":["Checkpointing","Memory Efficiency","Backpropagation","Large Models"]}},{"page_content":"# Checkpointed Backpropagation\n\n**Definition:** A training technique that reduces memory usage by not storing all intermediate activations and recomputing them when needed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/checkpointed-backpropagation","slug":"checkpointed-backpropagation","lang":"en","title":"Checkpointed Backpropagation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:21.880Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.990Z","tags":["Checkpointing","Memory Efficiency","Backpropagation","Large Models"]}},{"page_content":"# Çıkarım Süreci\n\n**Definition:** Eğitilmiş modelin gerçek kullanım senaryosunda yeni veriler üzerinde tahmin veya üretim yaptığı aşama.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cikrim-sureci","slug":"cikrim-sureci","lang":"tr","title":"Çıkarım Süreci","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:44.986Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.528Z","tags":["Inference","Üretim","Tahmin","Operasyon"]}},{"page_content":"# Inference\n\n**Definition:** The stage in which a trained model performs prediction or generation on new data in real-world use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cikrim-sureci","slug":"cikrim-sureci","lang":"en","title":"Inference","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:44.986Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.528Z","tags":["Inference","Üretim","Tahmin","Operasyon"]}},{"page_content":"# Atıf Tabanlı Grounding\n\n**Definition:** Üretilen yanıtın dayandığı kaynak parçalarını açık biçimde göstererek güvenilirliği artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/citation-grounding","slug":"citation-grounding","lang":"tr","title":"Atıf Tabanlı Grounding","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:41:43.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.500Z","tags":["Citations","Grounding","Trust","Source Attribution"]}},{"page_content":"# Citation Grounding\n\n**Definition:** An approach that improves trust by explicitly showing the source passages supporting the generated answer.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/citation-grounding","slug":"citation-grounding","lang":"en","title":"Citation Grounding","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:41:43.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.500Z","tags":["Citations","Grounding","Trust","Source Attribution"]}},{"page_content":"# Sınıf Ağırlıklandırma\n\n**Definition:** Az temsil edilen sınıfların hata maliyetini artırarak modelin karar öğrenmesini yeniden dengeleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/class-weighting","slug":"class-weighting","lang":"tr","title":"Sınıf Ağırlıklandırma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:56:02.793Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.910Z","tags":["Class Weighting","Imbalanced Data","Loss Function","Cost-Sensitive Learning"]}},{"page_content":"# Class Weighting\n\n**Definition:** An approach that rebalances model learning by increasing the error cost of underrepresented classes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/class-weighting","slug":"class-weighting","lang":"en","title":"Class Weighting","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:56:02.793Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.910Z","tags":["Class Weighting","Imbalanced Data","Loss Function","Cost-Sensitive Learning"]}},{"page_content":"# Closed-Book Soru Cevaplama\n\n**Definition:** Dış belge erişimi olmadan, yalnızca model parametrelerindeki bilgiyle soru yanıtlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/closed-book-question-answering","slug":"closed-book-question-answering","lang":"tr","title":"Closed-Book Soru Cevaplama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:44:44.922Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.202Z","tags":["Closed-Book QA","Parametric Memory","LLM","Knowledge Recall"]}},{"page_content":"# Closed-Book Question Answering\n\n**Definition:** An approach that answers questions using only the information stored in model parameters, without external document access.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/closed-book-question-answering","slug":"closed-book-question-answering","lang":"en","title":"Closed-Book Question Answering","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:44:44.922Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.202Z","tags":["Closed-Book QA","Parametric Memory","LLM","Knowledge Recall"]}},{"page_content":"# CNN Özellik Haritaları\n\n**Definition:** Evrişim katmanlarının öğrendiği ara temsiller olarak görsel örüntüleri farklı soyutlama seviyelerinde taşıyan yapılar.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cnn-feature-maps","slug":"cnn-feature-maps","lang":"tr","title":"CNN Özellik Haritaları","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:02.126Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.034Z","tags":["CNN Features","Representation Learning","Feature Maps","Deep Vision"]}},{"page_content":"# CNN Feature Maps\n\n**Definition:** Intermediate representations learned by convolutional layers that carry visual patterns at different abstraction levels.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cnn-feature-maps","slug":"cnn-feature-maps","lang":"en","title":"CNN Feature Maps","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:02.126Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.034Z","tags":["CNN Features","Representation Learning","Feature Maps","Deep Vision"]}},{"page_content":"# Çoklu Karşılaştırma Düzeltmesi\n\n**Definition:** Birden fazla hipotez test edildiğinde yanlış pozitif oranını kontrol etmek için kullanılan düzeltme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/coklu-karsilastirma-duzeltmesi","slug":"coklu-karsilastirma-duzeltmesi","lang":"tr","title":"Çoklu Karşılaştırma Düzeltmesi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:53.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.407Z","tags":["Multiple Testing","False Positives","Bonferroni","FDR"]}},{"page_content":"# Multiple Comparison Correction\n\n**Definition:** A correction approach used to control false positives when multiple hypotheses are tested.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/coklu-karsilastirma-duzeltmesi","slug":"coklu-karsilastirma-duzeltmesi","lang":"en","title":"Multiple Comparison Correction","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:53.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.407Z","tags":["Multiple Testing","False Positives","Bonferroni","FDR"]}},{"page_content":"# Soğuk Depolama Katmanı\n\n**Definition:** Nadiren erişilen ancak saklanması gereken verilerin düşük maliyetli depolama katmanında tutulması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cold-storage-tier","slug":"cold-storage-tier","lang":"tr","title":"Soğuk Depolama Katmanı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:56.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.181Z","tags":["Cold Storage","Archival","Data Lake","Cost Optimization"]}},{"page_content":"# Cold Storage Tier\n\n**Definition:** An approach in which rarely accessed but still required data is kept in a low-cost storage tier.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cold-storage-tier","slug":"cold-storage-tier","lang":"en","title":"Cold Storage Tier","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:56.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.181Z","tags":["Cold Storage","Archival","Data Lake","Cost Optimization"]}},{"page_content":"# İşbirlikçi Filtreleme\n\n**Definition:** Benzer kullanıcılar veya benzer öğeler üzerinden öneri üreten temel öneri sistemi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/collaborative-filtering","slug":"collaborative-filtering","lang":"tr","title":"İşbirlikçi Filtreleme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:17:33.906Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.511Z","tags":["Collaborative Filtering","Recommendation","Users","Items"]}},{"page_content":"# Collaborative Filtering\n\n**Definition:** A core recommendation approach that generates suggestions through similar users or similar items.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/collaborative-filtering","slug":"collaborative-filtering","lang":"en","title":"Collaborative Filtering","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:17:33.906Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.511Z","tags":["Collaborative Filtering","Recommendation","Users","Items"]}},{"page_content":"# Renk Sabitliği\n\n**Definition:** Farklı aydınlatma koşullarında nesne renklerini daha tutarlı biçimde algılamayı amaçlayan görüntü işleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/color-constancy","slug":"color-constancy","lang":"tr","title":"Renk Sabitliği","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.260Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.645Z","tags":["Color Constancy","Illumination","Image Processing","Robust Vision"]}},{"page_content":"# Color Constancy\n\n**Definition:** An image-processing approach that aims to perceive object colors more consistently under varying illumination conditions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/color-constancy","slug":"color-constancy","lang":"en","title":"Color Constancy","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.260Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.645Z","tags":["Color Constancy","Illumination","Image Processing","Robust Vision"]}},{"page_content":"# Renk Uzayı Dönüşümü\n\n**Definition:** Görüntüyü RGB dışındaki temsil uzaylarına dönüştürerek belirli görsel sinyalleri daha erişilebilir hale getiren işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/color-space-conversion","slug":"color-space-conversion","lang":"tr","title":"Renk Uzayı Dönüşümü","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:23.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.814Z","tags":["Color Space","RGB","HSV","Image Processing"]}},{"page_content":"# Color Space Conversion\n\n**Definition:** A process that transforms an image into representations other than RGB to make certain visual signals more accessible.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/color-space-conversion","slug":"color-space-conversion","lang":"en","title":"Color Space Conversion","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:23.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.814Z","tags":["Color Space","RGB","HSV","Image Processing"]}},{"page_content":"# Kolon Seviyesi Lineage\n\n**Definition:** Tek tek veri alanlarının hangi kaynak kolonlardan türediğini ve nasıl dönüştürüldüğünü izleyen ayrıntılı lineage düzeyi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/column-level-lineage","slug":"column-level-lineage","lang":"tr","title":"Kolon Seviyesi Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:15.955Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.027Z","tags":["Column-Level Lineage","Traceability","Fields","Governance"]}},{"page_content":"# Column-Level Lineage\n\n**Definition:** A detailed lineage level that traces which source columns each field was derived from and how it was transformed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/column-level-lineage","slug":"column-level-lineage","lang":"en","title":"Column-Level Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:15.955Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.027Z","tags":["Column-Level Lineage","Traceability","Fields","Governance"]}},{"page_content":"# Hesaplama Grafiği\n\n**Definition:** Model işlemlerini düğümler ve bağlantılar halinde temsil ederek otomatik türev almayı kolaylaştıran yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/computational-graph","slug":"computational-graph","lang":"tr","title":"Hesaplama Grafiği","category":"derin-ogrenme","updatedAt":"2026-06-27T21:20:52.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.303Z","tags":["Computational Graph","Automatic Differentiation","Backpropagation","Frameworks"]}},{"page_content":"# Computational Graph\n\n**Definition:** A structure that represents model operations as nodes and edges, making automatic differentiation easier.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/computational-graph","slug":"computational-graph","lang":"en","title":"Computational Graph","category":"derin-ogrenme","updatedAt":"2026-06-27T21:20:52.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.303Z","tags":["Computational Graph","Automatic Differentiation","Backpropagation","Frameworks"]}},{"page_content":"# Koşullu Rastgele Alan\n\n**Definition:** Özellikle sıralı veri etiketleme problemlerinde kullanılan koşullu olasılıksal grafik model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/conditional-random-field","slug":"conditional-random-field","lang":"tr","title":"Koşullu Rastgele Alan","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:38.448Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.912Z","tags":["CRF","Probabilistic Models","Sequence Labeling","Graphical Models"]}},{"page_content":"# Conditional Random Field\n\n**Definition:** A conditional probabilistic graphical model used especially in sequential labeling problems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/conditional-random-field","slug":"conditional-random-field","lang":"en","title":"Conditional Random Field","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:38.448Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.912Z","tags":["CRF","Probabilistic Models","Sequence Labeling","Graphical Models"]}},{"page_content":"# Uyumlu Boyut\n\n**Definition:** Farklı olgusal tablolar ve iş alanları arasında ortak anlamla yeniden kullanılan boyut yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/conformed-dimension","slug":"conformed-dimension","lang":"tr","title":"Uyumlu Boyut","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:27.593Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.445Z","tags":["Conformed Dimension","Warehouse","Semantic Consistency","BI"]}},{"page_content":"# Conformed Dimension\n\n**Definition:** A dimension structure reused across different fact tables and business domains with shared meaning.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/conformed-dimension","slug":"conformed-dimension","lang":"en","title":"Conformed Dimension","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:27.593Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.445Z","tags":["Conformed Dimension","Warehouse","Semantic Consistency","BI"]}},{"page_content":"# Consensus Kümeleme\n\n**Definition:** Birden fazla kümeleme sonucunu birleştirerek daha kararlı ve güvenilir küme yapısı elde etmeyi amaçlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/consensus-clustering","slug":"consensus-clustering","lang":"tr","title":"Consensus Kümeleme","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:35.492Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.115Z","tags":["Consensus Clustering","Stability","Segmentation","Unsupervised Learning"]}},{"page_content":"# Consensus Clustering\n\n**Definition:** An approach that combines multiple clustering results to obtain a more stable and reliable cluster structure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/consensus-clustering","slug":"consensus-clustering","lang":"en","title":"Consensus Clustering","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:35.492Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.115Z","tags":["Consensus Clustering","Stability","Segmentation","Unsupervised Learning"]}},{"page_content":"# Uzlaşı Etiketleme\n\n**Definition:** Bir veri örneği için birden fazla etiketleyicinin görüşü birleştirilerek nihai etiketin belirlenmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/consensus-labeling","slug":"consensus-labeling","lang":"tr","title":"Uzlaşı Etiketleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:38.838Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.151Z","tags":["Consensus Labeling","Quality Assurance","Annotation","Review"]}},{"page_content":"# Consensus Labeling\n\n**Definition:** An approach in which multiple annotators’ judgments are combined to determine the final label for a data instance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/consensus-labeling","slug":"consensus-labeling","lang":"en","title":"Consensus Labeling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:38.838Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.151Z","tags":["Consensus Labeling","Quality Assurance","Annotation","Review"]}},{"page_content":"# Constitutional AI\n\n**Definition:** Model davranışını açık ilke setleri ve normatif kurallar üzerinden yönlendirmeye çalışan alignment yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/constitutional-ai","slug":"constitutional-ai","lang":"tr","title":"Constitutional AI","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:30:41.991Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.854Z","tags":["Constitutional AI","Safety","Alignment","LLM"]}},{"page_content":"# Constitutional AI\n\n**Definition:** An alignment approach that tries to guide model behavior through explicit principle sets and normative rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/constitutional-ai","slug":"constitutional-ai","lang":"en","title":"Constitutional AI","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:30:41.991Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.854Z","tags":["Constitutional AI","Safety","Alignment","LLM"]}},{"page_content":"# Consumer Group\n\n**Definition:** Aynı akıştan paralel ve dengeli biçimde veri tüketen tüketici örnekleri topluluğu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/consumer-group","slug":"consumer-group","lang":"tr","title":"Consumer Group","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:19:53.680Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.339Z","tags":["Consumer Group","Streaming","Kafka","Scalability"]}},{"page_content":"# Consumer Group\n\n**Definition:** A group of consumer instances that read from the same stream in a balanced and parallel way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/consumer-group","slug":"consumer-group","lang":"en","title":"Consumer Group","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:19:53.680Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.339Z","tags":["Consumer Group","Streaming","Kafka","Scalability"]}},{"page_content":"# İçerik Tabanlı Filtreleme\n\n**Definition:** Öğelerin özelliklerine ve kullanıcının geçmiş tercih profiline göre öneri yapan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/content-based-filtering","slug":"content-based-filtering","lang":"tr","title":"İçerik Tabanlı Filtreleme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:46.526Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.600Z","tags":["Content-Based Filtering","Recommendation","Profiles","Similarity"]}},{"page_content":"# Content-Based Filtering\n\n**Definition:** A recommendation method that relies on item features and a user's historical preference profile.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/content-based-filtering","slug":"content-based-filtering","lang":"en","title":"Content-Based Filtering","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:46.526Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.600Z","tags":["Content-Based Filtering","Recommendation","Profiles","Similarity"]}},{"page_content":"# Bağlam Penceresi\n\n**Definition:** Bir Transformer modelinin tek seferde işleyebildiği maksimum sekans uzunluğu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/context-window","slug":"context-window","lang":"tr","title":"Bağlam Penceresi","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:42.145Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.792Z","tags":["Context Window","Transformers","LLM","Long Context"]}},{"page_content":"# Context Window\n\n**Definition:** The maximum sequence length that a Transformer model can process in a single pass.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/context-window","slug":"context-window","lang":"en","title":"Context Window","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:42.145Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.792Z","tags":["Context Window","Transformers","LLM","Long Context"]}},{"page_content":"# Bağlamsal Embedding\n\n**Definition:** Aynı kelimenin farklı bağlamlarda farklı vektörlerle temsil edilmesini sağlayan modern embedding yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/contextual-embeddings","slug":"contextual-embeddings","lang":"tr","title":"Bağlamsal Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:04.169Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.494Z","tags":["Contextual Embeddings","BERT","Transformer","Semantics"]}},{"page_content":"# Contextual Embeddings\n\n**Definition:** A modern embedding approach in which the same word receives different vectors in different contexts.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/contextual-embeddings","slug":"contextual-embeddings","lang":"en","title":"Contextual Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:04.169Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.494Z","tags":["Contextual Embeddings","BERT","Transformer","Semantics"]}},{"page_content":"# Devam Eden Ön Eğitim\n\n**Definition:** Önceden eğitilmiş bir dil modelini yeni veri üzerinde genel ya da alan özel bilgiyle geliştirme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/continued-pretraining","slug":"continued-pretraining","lang":"tr","title":"Devam Eden Ön Eğitim","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:53:13.367Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.646Z","tags":["Continued Pretraining","Domain Adaptation","LLM","Pretraining"]}},{"page_content":"# Continued Pretraining\n\n**Definition:** The process of further training a pretrained language model on new data to improve general or domain-specific knowledge.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/continued-pretraining","slug":"continued-pretraining","lang":"en","title":"Continued Pretraining","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:53:13.367Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.646Z","tags":["Continued Pretraining","Domain Adaptation","LLM","Pretraining"]}},{"page_content":"# Sürekli Batchleme\n\n**Definition:** Farklı zamanlarda gelen istekleri dinamik olarak aynı işlem akışına dahil ederek throughput artıran servis yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/continuous-batching","slug":"continuous-batching","lang":"tr","title":"Sürekli Batchleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:37.514Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.829Z","tags":["Continuous Batching","Serving","Throughput","Inference"]}},{"page_content":"# Continuous Batching\n\n**Definition:** A serving approach that increases throughput by dynamically merging requests arriving at different times into the same processing flow.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/continuous-batching","slug":"continuous-batching","lang":"en","title":"Continuous Batching","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:37.514Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.829Z","tags":["Continuous Batching","Serving","Throughput","Inference"]}},{"page_content":"# Sürekli Duygu Tahmini\n\n**Definition:** Duyguyu sabit sınıflar yerine zaman içinde değişen boyutsal değerler olarak modelleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/continuous-emotion-prediction","slug":"continuous-emotion-prediction","lang":"tr","title":"Sürekli Duygu Tahmini","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:09.673Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.397Z","tags":["Continuous Emotion","Valence Arousal","Speech Emotion","Audio Analytics"]}},{"page_content":"# Continuous Emotion Prediction\n\n**Definition:** An approach that models emotion as time-varying dimensional values rather than fixed categories.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/continuous-emotion-prediction","slug":"continuous-emotion-prediction","lang":"en","title":"Continuous Emotion Prediction","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:09.673Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.397Z","tags":["Continuous Emotion","Valence Arousal","Speech Emotion","Audio Analytics"]}},{"page_content":"# Contractive Autoencoder\n\n**Definition:** Girdi perturbasyonlarına duyarlı olmayan daha kararlı latent temsiller öğrenmek için ek ceza kullanan autoencoder türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/contractive-autoencoder","slug":"contractive-autoencoder","lang":"tr","title":"Contractive Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T21:21:53.148Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.371Z","tags":["Contractive Autoencoder","Robust Representations","Latent Space","Unsupervised Learning"]}},{"page_content":"# Contractive Autoencoder\n\n**Definition:** A type of autoencoder that uses an additional penalty to learn more stable latent representations under input perturbations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/contractive-autoencoder","slug":"contractive-autoencoder","lang":"en","title":"Contractive Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T21:21:53.148Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.371Z","tags":["Contractive Autoencoder","Robust Representations","Latent Space","Unsupervised Learning"]}},{"page_content":"# Karşıtsal Embedding Öğrenmesi\n\n**Definition:** Benzer metinleri yakın, farklı metinleri uzak vektör bölgelerine taşıyarak semantik temsil öğrenen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/contrastive-embedding-learning","slug":"contrastive-embedding-learning","lang":"tr","title":"Karşıtsal Embedding Öğrenmesi","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:57.772Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.207Z","tags":["Contrastive Learning","Embeddings","Semantic Search","Retrieval"]}},{"page_content":"# Contrastive Embedding Learning\n\n**Definition:** An approach that learns semantic representations by bringing similar texts closer and pushing dissimilar texts apart in vector space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/contrastive-embedding-learning","slug":"contrastive-embedding-learning","lang":"en","title":"Contrastive Embedding Learning","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:57.772Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.207Z","tags":["Contrastive Learning","Embeddings","Semantic Search","Retrieval"]}},{"page_content":"# Karşıtsal Görsel Ön Eğitim\n\n**Definition:** Benzer görsel örnekleri yakın, farklı örnekleri uzak temsil uzayına taşıyarak güçlü görsel özellikler öğrenen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/contrastive-visual-pretraining","slug":"contrastive-visual-pretraining","lang":"tr","title":"Karşıtsal Görsel Ön Eğitim","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:53.211Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.851Z","tags":["Contrastive Learning","Representation Learning","Self-Supervised Vision","Embeddings"]}},{"page_content":"# Contrastive Visual Pretraining\n\n**Definition:** An approach that learns strong visual features by bringing similar images close and pushing dissimilar ones apart in representation space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/contrastive-visual-pretraining","slug":"contrastive-visual-pretraining","lang":"en","title":"Contrastive Visual Pretraining","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:53.211Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.851Z","tags":["Contrastive Learning","Representation Learning","Self-Supervised Vision","Embeddings"]}},{"page_content":"# Evrişim\n\n**Definition:** Yerel filtreler kullanarak uzamsal örüntüleri yakalayan CNN'lerin temel işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/convolution","slug":"convolution","lang":"tr","title":"Evrişim","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:29.555Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.882Z","tags":["Convolution","CNN","Spatial Patterns","Vision"]}},{"page_content":"# Convolution\n\n**Definition:** The fundamental operation of CNNs that captures spatial patterns through local filters.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/convolution","slug":"convolution","lang":"en","title":"Convolution","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:29.555Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.882Z","tags":["Convolution","CNN","Spatial Patterns","Vision"]}},{"page_content":"# Eş Gönderim Çözümleme\n\n**Definition:** Metindeki farklı ifadelerin aynı varlık ya da olaya işaret edip etmediğini belirleyen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/coreference-resolution","slug":"coreference-resolution","lang":"tr","title":"Eş Gönderim Çözümleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:10.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.374Z","tags":["Coreference Resolution","Document Understanding","Information Extraction","NLP"]}},{"page_content":"# Coreference Resolution\n\n**Definition:** A task that determines whether different expressions in text refer to the same entity or event.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/coreference-resolution","slug":"coreference-resolution","lang":"en","title":"Coreference Resolution","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:10.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.374Z","tags":["Coreference Resolution","Document Understanding","Information Extraction","NLP"]}},{"page_content":"# Maliyet Duyarlı Sınıflandırma\n\n**Definition:** Tüm hata türlerini eşit görmeyip yanlış sınıflandırma maliyetlerini karar sürecine dahil eden yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cost-sensitive-classification","slug":"cost-sensitive-classification","lang":"tr","title":"Maliyet Duyarlı Sınıflandırma","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:23:44.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.756Z","tags":["Cost-Sensitive Classification","Decision Theory","Risk","Classification"]}},{"page_content":"# Cost-Sensitive Classification\n\n**Definition:** An approach that incorporates different misclassification costs into the decision process instead of treating all errors equally.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cost-sensitive-classification","slug":"cost-sensitive-classification","lang":"en","title":"Cost-Sensitive Classification","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:23:44.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.756Z","tags":["Cost-Sensitive Classification","Decision Theory","Risk","Classification"]}},{"page_content":"# Cross-Attention\n\n**Definition:** Bir temsil kümesinin başka bir temsil kümesinden bağlam almasını sağlayan dikkat mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cross-attention","slug":"cross-attention","lang":"tr","title":"Cross-Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:23.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.796Z","tags":["Cross-Attention","Encoder-Decoder","Multimodal Learning","Transformers"]}},{"page_content":"# Cross-Attention\n\n**Definition:** An attention mechanism that allows one representation set to draw context from another representation set.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cross-attention","slug":"cross-attention","lang":"en","title":"Cross-Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:23.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.796Z","tags":["Cross-Attention","Encoder-Decoder","Multimodal Learning","Transformers"]}},{"page_content":"# Korpuslar Arası Duygu Tanıma\n\n**Definition:** Bir veri kümesinde öğrenilen duygu modelinin farklı kayıt koşullarındaki yeni veri kümelerine genellenmesini hedefleyen problem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cross-corpus-emotion-recognition","slug":"cross-corpus-emotion-recognition","lang":"tr","title":"Korpuslar Arası Duygu Tanıma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:09.745Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.403Z","tags":["Cross-Corpus Emotion","Generalization","Speech Emotion","Robustness"]}},{"page_content":"# Cross-Corpus Emotion Recognition\n\n**Definition:** A problem focused on generalizing an emotion model learned on one dataset to new datasets recorded under different conditions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cross-corpus-emotion-recognition","slug":"cross-corpus-emotion-recognition","lang":"en","title":"Cross-Corpus Emotion Recognition","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:09.745Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.403Z","tags":["Cross-Corpus Emotion","Generalization","Speech Emotion","Robustness"]}},{"page_content":"# Cross-Encoder Yeniden Sıralama\n\n**Definition:** Sorgu ve aday belgeyi birlikte kodlayarak daha hassas relevance tahmini yapan ikinci aşama retrieval modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cross-encoder-reranking","slug":"cross-encoder-reranking","lang":"tr","title":"Cross-Encoder Yeniden Sıralama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:40.425Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.362Z","tags":["Cross-Encoder","Reranking","Search Quality","Retrieval"]}},{"page_content":"# Cross-Encoder Reranking\n\n**Definition:** A second-stage retrieval model that jointly encodes query and candidate document to estimate relevance more precisely.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cross-encoder-reranking","slug":"cross-encoder-reranking","lang":"en","title":"Cross-Encoder Reranking","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:40.425Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.362Z","tags":["Cross-Encoder","Reranking","Search Quality","Retrieval"]}},{"page_content":"# CTC Kod Çözümü\n\n**Definition:** Zaman hizalaması bilinmeyen konuşma dizilerinden metin çıkarmayı kolaylaştıran temel öğrenme ve çözümleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ctc-decoding","slug":"ctc-decoding","lang":"tr","title":"CTC Kod Çözümü","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:17:40.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.186Z","tags":["CTC","ASR","Sequence Learning","Alignment"]}},{"page_content":"# CTC Decoding\n\n**Definition:** A core learning and decoding approach that helps recover text from speech sequences with unknown alignments.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ctc-decoding","slug":"ctc-decoding","lang":"en","title":"CTC Decoding","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:17:40.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.186Z","tags":["CTC","ASR","Sequence Learning","Alignment"]}},{"page_content":"# Kürasyon Bölgesi\n\n**Definition:** Temizlenmiş, anlamlandırılmış ve analitik kullanıma daha uygun hale getirilmiş veri gölü katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/curated-zone","slug":"curated-zone","lang":"tr","title":"Kürasyon Bölgesi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:07.885Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.093Z","tags":["Curated Zone","Data Lake","Quality","Analytics"]}},{"page_content":"# Curated Zone\n\n**Definition:** The data lake layer where data has been cleaned, structured, and made more suitable for analytical use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/curated-zone","slug":"curated-zone","lang":"en","title":"Curated Zone","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:07.885Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.093Z","tags":["Curated Zone","Data Lake","Quality","Analytics"]}},{"page_content":"# Özel Anahtar Kelime Tespiti\n\n**Definition:** Kuruma, markaya veya özel uygulamaya ait sözcük ve ifadeleri tespit edecek ses tetikleme sistemleri tasarlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/custom-keyword-spotting","slug":"custom-keyword-spotting","lang":"tr","title":"Özel Anahtar Kelime Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:59.996Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.039Z","tags":["Custom KWS","Wake Word","Branded Voice","Audio Interfaces"]}},{"page_content":"# Custom Keyword Spotting\n\n**Definition:** An approach focused on designing voice-trigger systems that detect brand-, organization-, or application-specific terms and phrases.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/custom-keyword-spotting","slug":"custom-keyword-spotting","lang":"en","title":"Custom Keyword Spotting","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:59.996Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.039Z","tags":["Custom KWS","Wake Word","Branded Voice","Audio Interfaces"]}},{"page_content":"# CutMix\n\n**Definition:** Görüntülerin parçalarını ve etiketlerini birlikte karıştırarak daha güçlü görsel düzenlileştirme sağlayan teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cutmix","slug":"cutmix","lang":"tr","title":"CutMix","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:18.297Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.350Z","tags":["CutMix","Regularization","Computer Vision","Data Augmentation"]}},{"page_content":"# CutMix\n\n**Definition:** A visual regularization technique that mixes image regions and labels together to improve robustness.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cutmix","slug":"cutmix","lang":"en","title":"CutMix","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:18.297Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.350Z","tags":["CutMix","Regularization","Computer Vision","Data Augmentation"]}},{"page_content":"# Kesim Zamanı\n\n**Definition:** Bir batch işinin belirli bir veri dönemi için hangi ana kadar gelen kayıtları kabul edeceğini belirleyen zaman sınırı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/cutoff-time","slug":"cutoff-time","lang":"tr","title":"Kesim Zamanı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:40.417Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.069Z","tags":["Cutoff Time","Batch","Freshness","Data Completeness"]}},{"page_content":"# Cutoff Time\n\n**Definition:** A time boundary that determines until what moment a batch job will accept records for a given data period.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/cutoff-time","slug":"cutoff-time","lang":"en","title":"Cutoff Time","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:40.417Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.069Z","tags":["Cutoff Time","Batch","Freshness","Data Completeness"]}},{"page_content":"# DAG\n\n**Definition:** Veri işleme görevlerini yönlü ve döngüsüz bağımlılık grafiği olarak modelleyen temel orkestrasyon yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dag","slug":"dag","lang":"tr","title":"DAG","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:57.270Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.562Z","tags":["DAG","Dependencies","Orchestration","Airflow"]}},{"page_content":"# DAG\n\n**Definition:** A core orchestration structure that models data processing tasks as a directed acyclic dependency graph.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dag","slug":"dag","lang":"en","title":"DAG","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:57.270Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.562Z","tags":["DAG","Dependencies","Orchestration","Airflow"]}},{"page_content":"# Dar Yapay Zekâ\n\n**Definition:** Belirli bir görevde yüksek başarı sağlayan ancak bu yeteneği geniş bağlamlara genelleyemeyen yapay zekâ sistemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dar-yapay-zeka","slug":"dar-yapay-zeka","lang":"tr","title":"Dar Yapay Zekâ","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:52.823Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.908Z","tags":["Narrow AI","Uzmanlaşma","Uygulama","Gerçek Dünya"]}},{"page_content":"# Narrow AI\n\n**Definition:** An AI system that performs very well on a specific task but cannot generalize that capability across broad contexts.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dar-yapay-zeka","slug":"dar-yapay-zeka","lang":"en","title":"Narrow AI","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:52.823Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.908Z","tags":["Narrow AI","Uzmanlaşma","Uygulama","Gerçek Dünya"]}},{"page_content":"# Dartmouth Konferansı\n\n**Definition:** Yapay zekânın bağımsız bir araştırma alanı olarak şekillenmesinde tarihsel dönüm noktası kabul edilen 1956 toplantısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dartmouth-konferansi","slug":"dartmouth-konferansi","lang":"tr","title":"Dartmouth Konferansı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:55.759Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.617Z","tags":["Dartmouth","AI History","Başlangıç","Araştırma"]}},{"page_content":"# Dartmouth Conference\n\n**Definition:** The 1956 meeting widely regarded as the historical turning point where AI began to take shape as a distinct research field.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dartmouth-konferansi","slug":"dartmouth-konferansi","lang":"en","title":"Dartmouth Conference","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:55.759Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.617Z","tags":["Dartmouth","AI History","Başlangıç","Araştırma"]}},{"page_content":"# Dashboard Lineage\n\n**Definition:** Bir dashboard içindeki metrik ve görsellerin hangi veri setleri, sorgular ve dönüşümlerle beslendiğini gösteren iz yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dashboard-lineage","slug":"dashboard-lineage","lang":"tr","title":"Dashboard Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:32.088Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.365Z","tags":["Dashboard Lineage","BI","Metrics","Traceability"]}},{"page_content":"# Dashboard Lineage\n\n**Definition:** A trace structure that shows which datasets, queries, and transformations feed the metrics and visuals inside a dashboard.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dashboard-lineage","slug":"dashboard-lineage","lang":"en","title":"Dashboard Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:32.088Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.365Z","tags":["Dashboard Lineage","BI","Metrics","Traceability"]}},{"page_content":"# Veri İlişkilendirme\n\n**Definition:** Farklı karelerdeki nesne gözlemlerini aynı fiziksel hedefle eşleştirme problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-association","slug":"data-association","lang":"tr","title":"Veri İlişkilendirme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:55:01.530Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.139Z","tags":["Data Association","Tracking","Identity Matching","MOT"]}},{"page_content":"# Data Association\n\n**Definition:** The problem of matching object observations across frames to the same physical target.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-association","slug":"data-association","lang":"en","title":"Data Association","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:55:01.530Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.139Z","tags":["Data Association","Tracking","Identity Matching","MOT"]}},{"page_content":"# Veri Artırma\n\n**Definition:** Eğitim verisini anlamlı dönüşümlerle çoğaltarak genelleme gücünü artırmayı amaçlayan düzenlileştirme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-augmentation","slug":"data-augmentation","lang":"tr","title":"Veri Artırma","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:44.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.660Z","tags":["Data Augmentation","Regularization","Generalization","Robustness"]}},{"page_content":"# Data Augmentation\n\n**Definition:** A regularization approach that improves generalization by expanding training data through meaningful transformations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-augmentation","slug":"data-augmentation","lang":"en","title":"Data Augmentation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:44.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.660Z","tags":["Data Augmentation","Regularization","Generalization","Robustness"]}},{"page_content":"# Veri Kataloğu\n\n**Definition:** Kurumsal veri varlıklarının tanım, sahiplik, kullanım ve keşif bilgisini merkezi biçimde sunan katalog yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-catalog","slug":"data-catalog","lang":"tr","title":"Veri Kataloğu","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:39.879Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.249Z","tags":["Data Catalog","Metadata","Governance","Discoverability"]}},{"page_content":"# Data Catalog\n\n**Definition:** A centralized catalog structure that presents definitions, ownership, usage, and discovery information for enterprise data assets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-catalog","slug":"data-catalog","lang":"en","title":"Data Catalog","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:39.879Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.249Z","tags":["Data Catalog","Metadata","Governance","Discoverability"]}},{"page_content":"# Veri Sözleşmesi Zorlaması\n\n**Definition:** Şema, kalite ve teslim beklentilerinin tanımlanmakla kalmayıp sistem tarafından aktif biçimde uygulanması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-contract-enforcement","slug":"data-contract-enforcement","lang":"tr","title":"Veri Sözleşmesi Zorlaması","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:56:07.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.917Z","tags":["Data Contracts","Enforcement","Pipelines","Governance"]}},{"page_content":"# Data Contract Enforcement\n\n**Definition:** An approach in which schema, quality, and delivery expectations are not only defined, but actively enforced by the system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-contract-enforcement","slug":"data-contract-enforcement","lang":"en","title":"Data Contract Enforcement","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:56:07.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.917Z","tags":["Data Contracts","Enforcement","Pipelines","Governance"]}},{"page_content":"# Veri Sözleşmeleri\n\n**Definition:** Veri üreten ve tüketen taraflar arasında şema, kalite ve teslim beklentilerini açıkça tanımlayan anlaşma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-contracts","slug":"data-contracts","lang":"tr","title":"Veri Sözleşmeleri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:32.414Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.961Z","tags":["Data Contracts","Schema Management","Governance","Quality"]}},{"page_content":"# Data Contracts\n\n**Definition:** An agreement approach that explicitly defines schema, quality, and delivery expectations between data producers and consumers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-contracts","slug":"data-contracts","lang":"en","title":"Data Contracts","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:32.414Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.961Z","tags":["Data Contracts","Schema Management","Governance","Quality"]}},{"page_content":"# Veri Gölü\n\n**Definition:** Yapılandırılmış ve yapılandırılmamış verilerin ham veya düşük işlenmiş halde ölçeklenebilir biçimde saklandığı depolama katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-lake","slug":"data-lake","lang":"tr","title":"Veri Gölü","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:24.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.825Z","tags":["Data Lake","Raw Data","Scalable Storage","Lakehouse"]}},{"page_content":"# Data Lake\n\n**Definition:** A storage layer where structured and unstructured data is kept in raw or lightly processed form at scale.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-lake","slug":"data-lake","lang":"en","title":"Data Lake","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:24.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.825Z","tags":["Data Lake","Raw Data","Scalable Storage","Lakehouse"]}},{"page_content":"# Veri Yaşam Döngüsü Katmanlama\n\n**Definition:** Verinin erişim sıklığı, yaşı ve iş değeri değiştikçe farklı depolama katmanlarına geçirilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-lifecycle-tiering","slug":"data-lifecycle-tiering","lang":"tr","title":"Veri Yaşam Döngüsü Katmanlama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:17.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.356Z","tags":["Lifecycle Tiering","Storage Strategy","Data Lake","Cost"]}},{"page_content":"# Data Lifecycle Tiering\n\n**Definition:** An approach in which data is moved across storage tiers as its access frequency, age, and business value change.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-lifecycle-tiering","slug":"data-lifecycle-tiering","lang":"en","title":"Data Lifecycle Tiering","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:17.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.356Z","tags":["Lifecycle Tiering","Storage Strategy","Data Lake","Cost"]}},{"page_content":"# Veri Gözlemlenebilirliği\n\n**Definition:** Veri hatalarını, anormallikleri ve sessiz kalite bozulmalarını erken fark etmeyi amaçlayan izleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-observability","slug":"data-observability","lang":"tr","title":"Veri Gözlemlenebilirliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:20:53.904Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.774Z","tags":["Data Observability","Monitoring","Pipelines","Quality"]}},{"page_content":"# Data Observability\n\n**Definition:** A monitoring approach that aims to detect data issues, anomalies, and silent quality degradation early.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-observability","slug":"data-observability","lang":"en","title":"Data Observability","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:20:53.904Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.774Z","tags":["Data Observability","Monitoring","Pipelines","Quality"]}},{"page_content":"# Veri Boru Hattı\n\n**Definition:** Verinin bir kaynaktan alınıp işlenerek farklı hedef sistemlere güvenilir biçimde taşınmasını sağlayan işlem zinciri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-pipeline","slug":"data-pipeline","lang":"tr","title":"Veri Boru Hattı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:07.356Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.383Z","tags":["Data Pipeline","Orchestration","Reliability","Engineering"]}},{"page_content":"# Data Pipeline\n\n**Definition:** A processing chain that reliably moves data from a source, through transformations, into one or more target systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-pipeline","slug":"data-pipeline","lang":"en","title":"Data Pipeline","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:07.356Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.383Z","tags":["Data Pipeline","Orchestration","Reliability","Engineering"]}},{"page_content":"# Veri Ürünü Lineage\n\n**Definition:** Bir veri ürününün hangi kaynaklardan beslendiğini, nasıl üretildiğini ve hangi tüketicilere hizmet verdiğini gösteren iz yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-product-lineage","slug":"data-product-lineage","lang":"tr","title":"Veri Ürünü Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:39.855Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.151Z","tags":["Data Product","Lineage","Data Mesh","Governance"]}},{"page_content":"# Data Product Lineage\n\n**Definition:** A trace structure showing which sources feed a data product, how it is produced, and which consumers it serves.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-product-lineage","slug":"data-product-lineage","lang":"en","title":"Data Product Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:39.855Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.151Z","tags":["Data Product","Lineage","Data Mesh","Governance"]}},{"page_content":"# Veri Profilleme\n\n**Definition:** Bir veri kümesinin içerik, dağılım, boşluk, benzersizlik ve kural ihlali yapısını sistematik olarak inceleme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-profiling","slug":"data-profiling","lang":"tr","title":"Veri Profilleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:18:41.674Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.681Z","tags":["Data Profiling","Data Quality","EDA","Validation"]}},{"page_content":"# Data Profiling\n\n**Definition:** The process of systematically examining a dataset’s content, distribution, missingness, uniqueness, and rule violations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-profiling","slug":"data-profiling","lang":"en","title":"Data Profiling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:18:41.674Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.681Z","tags":["Data Profiling","Data Quality","EDA","Validation"]}},{"page_content":"# Veri Provenance\n\n**Definition:** Bir veri öğesinin kökenini, üretim koşullarını ve işlem geçmişini açıklayan kaynak güvenilirliği perspektifi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-provenance","slug":"data-provenance","lang":"tr","title":"Veri Provenance","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:56:14.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.112Z","tags":["Data Provenance","Origin","Trust","Governance"]}},{"page_content":"# Data Provenance\n\n**Definition:** A source-reliability perspective that describes the origin, creation conditions, and processing history of a data element.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-provenance","slug":"data-provenance","lang":"en","title":"Data Provenance","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:56:14.866Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.112Z","tags":["Data Provenance","Origin","Trust","Governance"]}},{"page_content":"# Veri Stewardship\n\n**Definition:** Belirli veri alanlarının tanım, kalite ve kullanım disiplininin operasyonel olarak sahiplenilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-stewardship","slug":"data-stewardship","lang":"tr","title":"Veri Stewardship","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:20.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.149Z","tags":["Data Stewardship","Governance","Quality Ownership","Operations"]}},{"page_content":"# Data Stewardship\n\n**Definition:** An operational approach in which specific data domains are actively stewarded for definition, quality, and appropriate use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-stewardship","slug":"data-stewardship","lang":"en","title":"Data Stewardship","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:20.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.149Z","tags":["Data Stewardship","Governance","Quality Ownership","Operations"]}},{"page_content":"# Veri Ambarı\n\n**Definition:** Raporlama, analitik ve karar destek için yapılandırılmış, bütünleşik ve sorgu odaklı veri depolama ortamı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/data-warehouse","slug":"data-warehouse","lang":"tr","title":"Veri Ambarı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:25.090Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.277Z","tags":["Data Warehouse","Analytics","Reporting","BI"]}},{"page_content":"# Data Warehouse\n\n**Definition:** A structured, integrated, query-optimized data storage environment built for reporting, analytics, and decision support.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/data-warehouse","slug":"data-warehouse","lang":"en","title":"Data Warehouse","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:25.090Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.277Z","tags":["Data Warehouse","Analytics","Reporting","BI"]}},{"page_content":"# Veri Seti Bağımlılık Haritası\n\n**Definition:** Veri setleri arasındaki bağımlılık ilişkilerini sistematik biçimde gösteren haritalama yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dataset-dependency-map","slug":"dataset-dependency-map","lang":"tr","title":"Veri Seti Bağımlılık Haritası","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:30.742Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.645Z","tags":["Dependency Map","Datasets","Lineage","Change Management"]}},{"page_content":"# Dataset Dependency Map\n\n**Definition:** A mapping structure that systematically shows dependency relationships among datasets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dataset-dependency-map","slug":"dataset-dependency-map","lang":"en","title":"Dataset Dependency Map","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:30.742Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.645Z","tags":["Dependency Map","Datasets","Lineage","Change Management"]}},{"page_content":"# DBSCAN\n\n**Definition:** Yoğunluk temelli yaklaşım kullanarak kümeleri ve gürültü noktalarını birlikte belirleyen kümeleme algoritması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dbscan","slug":"dbscan","lang":"tr","title":"DBSCAN","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:08.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.596Z","tags":["DBSCAN","Density-Based Clustering","Noise Detection","Unsupervised Learning"]}},{"page_content":"# DBSCAN\n\n**Definition:** A clustering algorithm that identifies clusters and noise points together using a density-based approach.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dbscan","slug":"dbscan","lang":"en","title":"DBSCAN","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:08.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.596Z","tags":["DBSCAN","Density-Based Clustering","Noise Detection","Unsupervised Learning"]}},{"page_content":"# Kimliksizleştirme\n\n**Definition:** Metindeki kişisel veya hassas bilgileri maskeleyerek güvenli işlemeyi mümkün kılan süreç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/de-identification","slug":"de-identification","lang":"tr","title":"Kimliksizleştirme","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:27.141Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.680Z","tags":["De-identification","Privacy","Sensitive Data","Document AI"]}},{"page_content":"# De-identification\n\n**Definition:** The process of masking personal or sensitive information in text to enable safer processing.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/de-identification","slug":"de-identification","lang":"en","title":"De-identification","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:27.141Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.680Z","tags":["De-identification","Privacy","Sensitive Data","Document AI"]}},{"page_content":"# Karar Ağacı Sınıflandırıcısı\n\n**Definition:** Veriyi ardışık kurallarla bölerek sınıf kararları üreten ağaç tabanlı sınıflandırma modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/decision-tree-classifier","slug":"decision-tree-classifier","lang":"tr","title":"Karar Ağacı Sınıflandırıcısı","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:47:59.240Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.222Z","tags":["Decision Tree","Classification","Interpretable ML","Rules"]}},{"page_content":"# Decision Tree Classifier\n\n**Definition:** A tree-based classification model that produces class decisions by recursively splitting data through sequential rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/decision-tree-classifier","slug":"decision-tree-classifier","lang":"en","title":"Decision Tree Classifier","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:47:59.240Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.222Z","tags":["Decision Tree","Classification","Interpretable ML","Rules"]}},{"page_content":"# Decoder-Only Transformer\n\n**Definition:** Otokorelasyonlu biçimde bir sonraki tokenı tahmin ederek üretim yapan modern büyük dil modeli mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/decoder-only-transformer","slug":"decoder-only-transformer","lang":"tr","title":"Decoder-Only Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T22:53:39.650Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.143Z","tags":["Decoder-Only","LLM","Autoregressive Modeling","Transformers"]}},{"page_content":"# Decoder-Only Transformer\n\n**Definition:** A modern large-language-model architecture that generates autoregressively by predicting the next token.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/decoder-only-transformer","slug":"decoder-only-transformer","lang":"en","title":"Decoder-Only Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T22:53:39.650Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.143Z","tags":["Decoder-Only","LLM","Autoregressive Modeling","Transformers"]}},{"page_content":"# Derin Sinir Ağı\n\n**Definition:** Birden fazla gizli katmanla hiyerarşik özellik öğrenen genel sinir ağı yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/deep-neural-network","slug":"deep-neural-network","lang":"tr","title":"Derin Sinir Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T22:58:25.335Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.751Z","tags":["Deep Neural Network","Representation Learning","Hierarchy","Deep Learning"]}},{"page_content":"# Deep Neural Network\n\n**Definition:** A general neural network structure that learns hierarchical features through multiple hidden layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/deep-neural-network","slug":"deep-neural-network","lang":"en","title":"Deep Neural Network","category":"derin-ogrenme","updatedAt":"2026-06-27T22:58:25.335Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.751Z","tags":["Deep Neural Network","Representation Learning","Hierarchy","Deep Learning"]}},{"page_content":"# DeepSORT\n\n**Definition:** SORT yaklaşımını görünüş embedding'leri ile güçlendirerek kimlik kararlılığını artıran takip sistemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/deepsort","slug":"deepsort","lang":"tr","title":"DeepSORT","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:54.616Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.584Z","tags":["DeepSORT","Re-ID","Tracking","Identity Persistence"]}},{"page_content":"# DeepSORT\n\n**Definition:** A tracking system that strengthens the SORT approach with appearance embeddings to improve identity stability.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/deepsort","slug":"deepsort","lang":"en","title":"DeepSORT","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:54.616Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.584Z","tags":["DeepSORT","Re-ID","Tracking","Identity Persistence"]}},{"page_content":"# Deformable DETR\n\n**Definition:** Transformer tabanlı tespitte dikkat hesaplamasını daha seçici hale getirerek yakınsama hızını ve küçük nesne başarısını artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/deformable-detr","slug":"deformable-detr","lang":"tr","title":"Deformable DETR","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:29.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.223Z","tags":["Deformable DETR","Transformer Detection","Object Detection","Vision Transformers"]}},{"page_content":"# Deformable DETR\n\n**Definition:** An approach in transformer-based detection that makes attention computation more selective, improving convergence speed and small-object performance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/deformable-detr","slug":"deformable-detr","lang":"en","title":"Deformable DETR","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:29.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.223Z","tags":["Deformable DETR","Transformer Detection","Object Detection","Vision Transformers"]}},{"page_content":"# Denetimli Öğrenme\n\n**Definition:** Etiketli örnekler üzerinden girdiler ile hedef çıktılar arasındaki ilişkinin öğrenildiği temel öğrenme paradigması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/denetimli-ogrenme","slug":"denetimli-ogrenme","lang":"tr","title":"Denetimli Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:15.916Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.088Z","tags":["Supervised Learning","Etiket","Tahmin","Sınıflandırma"]}},{"page_content":"# Supervised Learning\n\n**Definition:** A core learning paradigm in which the relationship between inputs and target outputs is learned from labeled examples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/denetimli-ogrenme","slug":"denetimli-ogrenme","lang":"en","title":"Supervised Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:15.916Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.088Z","tags":["Supervised Learning","Etiket","Tahmin","Sınıflandırma"]}},{"page_content":"# Denetimsiz Öğrenme\n\n**Definition:** Etiket bulunmayan verilerdeki yapı, ilişki ve gizli örüntüleri keşfetmeye odaklanan öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/denetimsiz-ogrenme","slug":"denetimsiz-ogrenme","lang":"tr","title":"Denetimsiz Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:53.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.178Z","tags":["Unsupervised Learning","Kümeleme","Keşif","Örüntü"]}},{"page_content":"# Unsupervised Learning\n\n**Definition:** A learning approach focused on discovering structure, relationships, and latent patterns in unlabeled data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/denetimsiz-ogrenme","slug":"denetimsiz-ogrenme","lang":"en","title":"Unsupervised Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:53.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.178Z","tags":["Unsupervised Learning","Kümeleme","Keşif","Örüntü"]}},{"page_content":"# Denoising Autoencoder\n\n**Definition:** Bozulmuş girdiden temiz çıktıyı yeniden üretmeye çalışarak daha sağlam temsiller öğrenen autoencoder türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/denoising-autoencoder","slug":"denoising-autoencoder","lang":"tr","title":"Denoising Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:08.106Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.423Z","tags":["Denoising Autoencoder","Robustness","Representation Learning","Noise Reduction"]}},{"page_content":"# Denoising Autoencoder\n\n**Definition:** A type of autoencoder that learns more robust representations by reconstructing clean outputs from corrupted inputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/denoising-autoencoder","slug":"denoising-autoencoder","lang":"en","title":"Denoising Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:08.106Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.423Z","tags":["Denoising Autoencoder","Robustness","Representation Learning","Noise Reduction"]}},{"page_content":"# Dense Passage Retrieval\n\n**Definition:** Sorguları ve pasajları yoğun vektörlerle eşleyerek belge içinden ilgili pasajları bulmaya odaklanan retrieval yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dense-passage-retrieval","slug":"dense-passage-retrieval","lang":"tr","title":"Dense Passage Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:28.150Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.274Z","tags":["DPR","Passage Retrieval","RAG","Dense Retrieval"]}},{"page_content":"# Dense Passage Retrieval\n\n**Definition:** A retrieval method that maps queries and passages into dense vectors to find relevant passages within documents.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dense-passage-retrieval","slug":"dense-passage-retrieval","lang":"en","title":"Dense Passage Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:28.150Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.274Z","tags":["DPR","Passage Retrieval","RAG","Dense Retrieval"]}},{"page_content":"# Dense Retrieval\n\n**Definition:** Sorgu ve belgeyi yoğun vektör uzayında temsil ederek anlamsal eşleşme yapan retrieval yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dense-retrieval","slug":"dense-retrieval","lang":"tr","title":"Dense Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:21.035Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.296Z","tags":["Dense Retrieval","Semantic Search","RAG","Embeddings"]}},{"page_content":"# Dense Retrieval\n\n**Definition:** A retrieval approach that performs semantic matching by representing queries and documents in a dense vector space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dense-retrieval","slug":"dense-retrieval","lang":"en","title":"Dense Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:21.035Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.296Z","tags":["Dense Retrieval","Semantic Search","RAG","Embeddings"]}},{"page_content":"# Bağımlılık Yönetimi\n\n**Definition:** Bir veri akışındaki görevlerin, veri setlerinin ve işlem sıralarının birbirine bağlılığını kontrollü biçimde yönetme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dependency-management","slug":"dependency-management","lang":"tr","title":"Bağımlılık Yönetimi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:55:19.028Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.739Z","tags":["Dependency Management","Pipelines","Workflow","Reliability"]}},{"page_content":"# Dependency Management\n\n**Definition:** The process of managing the dependencies among tasks, datasets, and execution orders within a data workflow.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dependency-management","slug":"dependency-management","lang":"en","title":"Dependency Management","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:55:19.028Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.739Z","tags":["Dependency Management","Pipelines","Workflow","Reliability"]}},{"page_content":"# Bağımlılık Çözümleme\n\n**Definition:** Bir veri iş akışındaki görevlerin ve veri varlıklarının hangi sırada ve hangi koşullarda çalışacağını belirleme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dependency-resolution","slug":"dependency-resolution","lang":"tr","title":"Bağımlılık Çözümleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:38.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.827Z","tags":["Dependency Resolution","Workflow","Pipelines","Reliability"]}},{"page_content":"# Dependency Resolution\n\n**Definition:** The process of determining in what order and under what conditions tasks and data assets in a workflow should execute.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dependency-resolution","slug":"dependency-resolution","lang":"en","title":"Dependency Resolution","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:38.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.827Z","tags":["Dependency Resolution","Workflow","Pipelines","Reliability"]}},{"page_content":"# Depthwise Separable Convolution\n\n**Definition:** Uzamsal ve kanal dönüşümlerini ayırarak CNN hesaplama maliyetini düşüren verimli evrişim yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/depthwise-separable-convolution","slug":"depthwise-separable-convolution","lang":"tr","title":"Depthwise Separable Convolution","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:11.184Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.113Z","tags":["Depthwise Separable Convolution","Efficient CNN","Mobile Models","Vision"]}},{"page_content":"# Depthwise Separable Convolution\n\n**Definition:** An efficient convolution structure that reduces CNN computation by separating spatial and channel transformations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/depthwise-separable-convolution","slug":"depthwise-separable-convolution","lang":"en","title":"Depthwise Separable Convolution","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:11.184Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.113Z","tags":["Depthwise Separable Convolution","Efficient CNN","Mobile Models","Vision"]}},{"page_content":"# Yankı Giderme\n\n**Definition:** Kapalı ortam yansımalarının konuşma sinyali üzerindeki bozucu etkisini azaltmaya odaklanan ses işleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dereverberation","slug":"dereverberation","lang":"tr","title":"Yankı Giderme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:23.826Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.226Z","tags":["Dereverberation","Reverb Removal","Speech Enhancement","Audio Processing"]}},{"page_content":"# Dereverberation\n\n**Definition:** An audio processing task focused on reducing the degrading effect of room reverberation on speech signals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dereverberation","slug":"dereverberation","lang":"en","title":"Dereverberation","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:23.826Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.226Z","tags":["Dereverberation","Reverb Removal","Speech Enhancement","Audio Processing"]}},{"page_content":"# Derin Öğrenme\n\n**Definition:** Çok katmanlı yapay sinir ağlarıyla veriden hiyerarşik temsiller öğrenen modern makine öğrenmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/derin-ogrenme","slug":"derin-ogrenme","lang":"tr","title":"Derin Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:04.078Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.817Z","tags":["Deep Learning","Sinir Ağları","Temsil","Modern AI"]}},{"page_content":"# Deep Learning\n\n**Definition:** A modern machine learning approach that learns hierarchical representations from data using multi-layer neural networks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/derin-ogrenme","slug":"derin-ogrenme","lang":"en","title":"Deep Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:04.078Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.817Z","tags":["Deep Learning","Sinir Ağları","Temsil","Modern AI"]}},{"page_content":"# Determinant\n\n**Definition:** Bir matrisin hacim ölçekleme etkisini ve terslenebilir olup olmadığını özetleyen temel lineer cebir niceliği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/determinant","slug":"determinant","lang":"tr","title":"Determinant","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:22.557Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.676Z","tags":["Determinant","Matrix","Invertibility","Linear Algebra"]}},{"page_content":"# Determinant\n\n**Definition:** A core linear algebra quantity that summarizes a matrix’s volume scaling effect and whether it is invertible.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/determinant","slug":"determinant","lang":"en","title":"Determinant","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:36:22.557Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.676Z","tags":["Determinant","Matrix","Invertibility","Linear Algebra"]}},{"page_content":"# Diarization Hata Oranı\n\n**Definition:** Konuşmacı ayrıştırma sistemlerinin segment, kimlik ve örtüşme hatalarını özetleyen temel değerlendirme metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/diarization-error-rate","slug":"diarization-error-rate","lang":"tr","title":"Diarization Hata Oranı","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:54:39.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.680Z","tags":["DER","Diarization","Evaluation","Speech Analytics"]}},{"page_content":"# Diarization Error Rate\n\n**Definition:** A core evaluation metric that summarizes segmentation, identity, and overlap errors in speaker diarization systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/diarization-error-rate","slug":"diarization-error-rate","lang":"en","title":"Diarization Error Rate","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:54:39.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.680Z","tags":["DER","Diarization","Evaluation","Speech Analytics"]}},{"page_content":"# Diarization Yeniden Segmentleme\n\n**Definition:** İlk diarization çıktısını daha hassas konuşmacı sınırları ve segment doğruluğu için sonradan iyileştiren süreç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/diarization-resegmentation","slug":"diarization-resegmentation","lang":"tr","title":"Diarization Yeniden Segmentleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:07.924Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.048Z","tags":["Resegmentation","Diarization","Post-Processing","Speaker Boundaries"]}},{"page_content":"# Diarization Resegmentation\n\n**Definition:** A process that refines initial diarization output afterward to improve speaker boundaries and segment accuracy.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/diarization-resegmentation","slug":"diarization-resegmentation","lang":"en","title":"Diarization Resegmentation","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:07.924Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.048Z","tags":["Resegmentation","Diarization","Post-Processing","Speaker Boundaries"]}},{"page_content":"# Dice Katsayısı\n\n**Definition:** Tahmin edilen maske ile gerçek maske örtüşmesini ölçen segmentasyon odaklı değerlendirme metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dice-coefficient","slug":"dice-coefficient","lang":"tr","title":"Dice Katsayısı","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:04.151Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.480Z","tags":["Dice Coefficient","Segmentation","Evaluation","Medical Imaging"]}},{"page_content":"# Dice Coefficient\n\n**Definition:** A segmentation-focused evaluation metric that measures overlap between predicted and ground-truth masks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dice-coefficient","slug":"dice-coefficient","lang":"en","title":"Dice Coefficient","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:04.151Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.480Z","tags":["Dice Coefficient","Segmentation","Evaluation","Medical Imaging"]}},{"page_content":"# Diferansiyel Gizlilik\n\n**Definition:** Tek bir bireyin verisinin sonuçları anlamlı biçimde değiştirmesini sınırlayan matematiksel gizlilik çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/differential-privacy","slug":"differential-privacy","lang":"tr","title":"Diferansiyel Gizlilik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:01.021Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.980Z","tags":["Differential Privacy","Privacy","Mathematical Guarantee","Sensitive Data"]}},{"page_content":"# Differential Privacy\n\n**Definition:** A mathematical privacy framework that limits the extent to which any single individual’s data can affect published results.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/differential-privacy","slug":"differential-privacy","lang":"en","title":"Differential Privacy","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:01.021Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.980Z","tags":["Differential Privacy","Privacy","Mathematical Guarantee","Sensitive Data"]}},{"page_content":"# Diffusion Tabanlı Ses İyileştirme\n\n**Definition:** Ses restorasyonunu kademeli gürültü giderme mantığıyla modelleyen yeni nesil generatif iyileştirme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/diffusion-based-audio-enhancement","slug":"diffusion-based-audio-enhancement","lang":"tr","title":"Diffusion Tabanlı Ses İyileştirme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:53:39.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.956Z","tags":["Diffusion Models","Audio Enhancement","Speech Restoration","Generative Audio"]}},{"page_content":"# Diffusion-Based Audio Enhancement\n\n**Definition:** A next-generation generative enhancement approach that models audio restoration through iterative denoising.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/diffusion-based-audio-enhancement","slug":"diffusion-based-audio-enhancement","lang":"en","title":"Diffusion-Based Audio Enhancement","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:53:39.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.956Z","tags":["Diffusion Models","Audio Enhancement","Speech Restoration","Generative Audio"]}},{"page_content":"# Diffusion Tabanlı Sentetik Veri\n\n**Definition:** Gürültü ekleme ve geri örnekleme mantığıyla veri dağılımını yeniden inşa eden modern sentetik veri üretim yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/diffusion-tabanli-sentetik-veri","slug":"diffusion-tabanli-sentetik-veri","lang":"tr","title":"Diffusion Tabanlı Sentetik Veri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:11.138Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.173Z","tags":["Diffusion Models","Synthetic Data","Generation","Quality"]}},{"page_content":"# Diffusion-Based Synthetic Data\n\n**Definition:** A modern synthetic data generation approach that reconstructs data distributions through noise injection and reverse sampling.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/diffusion-tabanli-sentetik-veri","slug":"diffusion-tabanli-sentetik-veri","lang":"en","title":"Diffusion-Based Synthetic Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:11.138Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.173Z","tags":["Diffusion Models","Synthetic Data","Generation","Quality"]}},{"page_content":"# Dilated Convolution\n\n**Definition:** Filtre elemanları arasına boşluklar koyarak receptive field'ı büyüten evrişim tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dilated-convolution","slug":"dilated-convolution","lang":"tr","title":"Dilated Convolution","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:01.400Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.022Z","tags":["Dilated Convolution","CNN","Context","Segmentation"]}},{"page_content":"# Dilated Convolution\n\n**Definition:** A convolution technique that enlarges the receptive field by inserting gaps between filter elements.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dilated-convolution","slug":"dilated-convolution","lang":"en","title":"Dilated Convolution","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:01.400Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.022Z","tags":["Dilated Convolution","CNN","Context","Segmentation"]}},{"page_content":"# Boyutsal Modelleme\n\n**Definition:** Analitik sorgular için veri yapılarını olgular ve boyutlar etrafında düzenleyen modelleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dimensional-modeling","slug":"dimensional-modeling","lang":"tr","title":"Boyutsal Modelleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:35.829Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.367Z","tags":["Dimensional Modeling","Fact Table","Dimension Table","Warehouse"]}},{"page_content":"# Dimensional Modeling\n\n**Definition:** A modeling approach that organizes analytical data structures around facts and dimensions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dimensional-modeling","slug":"dimensional-modeling","lang":"en","title":"Dimensional Modeling","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:35.829Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.367Z","tags":["Dimensional Modeling","Fact Table","Dimension Table","Warehouse"]}},{"page_content":"# Doğrudan Tercih Optimizasyonu\n\n**Definition:** Tercih çiftlerinden doğrudan öğrenerek hizalama yapmayı hedefleyen daha sade alignment yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/direct-preference-optimization","slug":"direct-preference-optimization","lang":"tr","title":"Doğrudan Tercih Optimizasyonu","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:06.073Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.765Z","tags":["DPO","Alignment","Preference Learning","LLM"]}},{"page_content":"# Direct Preference Optimization\n\n**Definition:** A simpler alignment approach that learns directly from preference pairs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/direct-preference-optimization","slug":"direct-preference-optimization","lang":"en","title":"Direct Preference Optimization","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:06.073Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.765Z","tags":["DPO","Alignment","Preference Learning","LLM"]}},{"page_content":"# Dirichlet Dağılımı\n\n**Definition:** Birden fazla kategorinin olasılıklarını birlikte modellemek için kullanılan çok boyutlu olasılık dağılımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dirichlet-dagilimi","slug":"dirichlet-dagilimi","lang":"tr","title":"Dirichlet Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:32.004Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.132Z","tags":["Dirichlet","Bayesian","Multiclass","Probabilities"]}},{"page_content":"# Dirichlet Distribution\n\n**Definition:** A multidimensional probability distribution used to model the probabilities of multiple categories jointly.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dirichlet-dagilimi","slug":"dirichlet-dagilimi","lang":"en","title":"Dirichlet Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:32.004Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.132Z","tags":["Dirichlet","Bayesian","Multiclass","Probabilities"]}},{"page_content":"# Belge Düzeyi Makine Çevirisi\n\n**Definition:** Cümleleri bağımsız değil, daha geniş belge bağlamı içinde çevirerek tutarlılığı artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/document-level-machine-translation","slug":"document-level-machine-translation","lang":"tr","title":"Belge Düzeyi Makine Çevirisi","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:59.723Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.000Z","tags":["Document-Level MT","Translation","Context","Consistency"]}},{"page_content":"# Document-Level Machine Translation\n\n**Definition:** An approach that improves consistency by translating sentences within broader document context rather than independently.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/document-level-machine-translation","slug":"document-level-machine-translation","lang":"en","title":"Document-Level Machine Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:59.723Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.000Z","tags":["Document-Level MT","Translation","Context","Consistency"]}},{"page_content":"# Belge Ayrıştırma\n\n**Definition:** Belgeyi metin, yapı, alan ve hiyerarşi düzeyinde çözüp makine tarafından işlenebilir temsile dönüştüren süreç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/document-parsing","slug":"document-parsing","lang":"tr","title":"Belge Ayrıştırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:20.255Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.238Z","tags":["Document Parsing","Document AI","Structured Understanding","Enterprise Automation"]}},{"page_content":"# Document Parsing\n\n**Definition:** A process that decomposes a document into text, structure, fields, and hierarchy to produce a machine-processable representation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/document-parsing","slug":"document-parsing","lang":"en","title":"Document Parsing","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:20.255Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.238Z","tags":["Document Parsing","Document AI","Structured Understanding","Enterprise Automation"]}},{"page_content":"# Doğrulama\n\n**Definition:** Modelin eğitim sürecinde ne kadar iyi genelleme yaptığını görmek ve ayarlarını geliştirmek için kullanılan ara değerlendirme aşaması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dogrulama","slug":"dogrulama","lang":"tr","title":"Doğrulama","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:11.323Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.436Z","tags":["Validation","Genelleme","Model Seçimi","Değerlendirme"]}},{"page_content":"# Validation\n\n**Definition:** An intermediate evaluation stage used to assess how well a model generalizes during training and to improve its settings.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dogrulama","slug":"dogrulama","lang":"en","title":"Validation","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:11.323Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.436Z","tags":["Validation","Genelleme","Model Seçimi","Değerlendirme"]}},{"page_content":"# Doğruluk\n\n**Definition:** Bir veri alanının gerçek dünya değerini ne kadar doğru yansıttığını ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dogruluk","slug":"dogruluk","lang":"tr","title":"Doğruluk","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:38.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.326Z","tags":["Accuracy","Data Quality","Validation","Real World Data"]}},{"page_content":"# Accuracy\n\n**Definition:** A quality dimension expressing how correctly a data field reflects the real-world value it represents.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dogruluk","slug":"dogruluk","lang":"en","title":"Accuracy","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:38.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.326Z","tags":["Accuracy","Data Quality","Validation","Real World Data"]}},{"page_content":"# Alan Uyumlu Fine-Tuning\n\n**Definition:** Modeli hukuk, sağlık, finans gibi belirli alan terminolojisi ve kullanım biçimlerine uyarlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/domain-adaptive-fine-tuning","slug":"domain-adaptive-fine-tuning","lang":"tr","title":"Alan Uyumlu Fine-Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:45:45.568Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.904Z","tags":["Domain Adaptation","Fine-Tuning","Specialized Models","LLM"]}},{"page_content":"# Domain-Adaptive Fine-Tuning\n\n**Definition:** An approach that adapts a model to the terminology and usage style of specific domains such as law, healthcare, or finance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/domain-adaptive-fine-tuning","slug":"domain-adaptive-fine-tuning","lang":"en","title":"Domain-Adaptive Fine-Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:45:45.568Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.904Z","tags":["Domain Adaptation","Fine-Tuning","Specialized Models","LLM"]}},{"page_content":"# Domain Randomization\n\n**Definition:** Sentetik veri üretiminde çevresel değişkenleri çeşitlendirerek modelin gerçek dünyaya daha dayanıklı hale getirilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/domain-randomization","slug":"domain-randomization","lang":"tr","title":"Domain Randomization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:09.130Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.353Z","tags":["Domain Randomization","Sim2Real","Synthetic Data","Robustness"]}},{"page_content":"# Domain Randomization\n\n**Definition:** An approach that varies environmental factors in synthetic data generation to make models more robust to the real world.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/domain-randomization","slug":"domain-randomization","lang":"en","title":"Domain Randomization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:09.130Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.353Z","tags":["Domain Randomization","Sim2Real","Synthetic Data","Robustness"]}},{"page_content":"# Alan Özel Embedding\n\n**Definition:** Genel dil yerine hukuk, sağlık, finans gibi belirli alanların terminolojisine göre uyarlanmış temsil yapıları.","metadata":{"source":"https://sukruyusufkaya.com/glossary/domain-specific-embeddings","slug":"domain-specific-embeddings","lang":"tr","title":"Alan Özel Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:50.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.383Z","tags":["Domain Embeddings","Specialized NLP","Semantic Search","Representation Learning"]}},{"page_content":"# Domain-Specific Embeddings\n\n**Definition:** Representation structures adapted to the terminology of specific domains such as law, healthcare, or finance rather than general language.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/domain-specific-embeddings","slug":"domain-specific-embeddings","lang":"en","title":"Domain-Specific Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:50.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.383Z","tags":["Domain Embeddings","Specialized NLP","Semantic Search","Representation Learning"]}},{"page_content":"# Downstream Kırılma Riski\n\n**Definition:** Bir veri varlığında yapılan değişikliğin bağlı rapor, model veya servislerde kırılma yaratma ihtimalini ifade eden risk ölçütü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/downstream-breakage-risk","slug":"downstream-breakage-risk","lang":"tr","title":"Downstream Kırılma Riski","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:22.365Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.094Z","tags":["Downstream Risk","Breakage","Lineage","Change Management"]}},{"page_content":"# Downstream Breakage Risk\n\n**Definition:** A risk measure describing the likelihood that a change in a data asset will cause breakage in connected reports, models, or services.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/downstream-breakage-risk","slug":"downstream-breakage-risk","lang":"en","title":"Downstream Breakage Risk","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:22.365Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.094Z","tags":["Downstream Risk","Breakage","Lineage","Change Management"]}},{"page_content":"# Dropout\n\n**Definition:** Eğitim sırasında bazı nöronları geçici olarak devre dışı bırakarak aşırı uyumu azaltan düzenlileştirme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/dropout","slug":"dropout","lang":"tr","title":"Dropout","category":"derin-ogrenme","updatedAt":"2026-06-27T22:54:59.454Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.568Z","tags":["Dropout","Regularization","Overfitting","Neural Networks"]}},{"page_content":"# Dropout\n\n**Definition:** A regularization technique that reduces overfitting by temporarily disabling some neurons during training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/dropout","slug":"dropout","lang":"en","title":"Dropout","category":"derin-ogrenme","updatedAt":"2026-06-27T22:54:59.454Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.568Z","tags":["Dropout","Regularization","Overfitting","Neural Networks"]}},{"page_content":"# TTS'de Süre Modelleme\n\n**Definition:** Ses sentezinde her fonem veya birimin ne kadar süreyle söyleneceğini belirleyerek akıcılığı etkileyen modelleme katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/duration-modeling-in-tts","slug":"duration-modeling-in-tts","lang":"tr","title":"TTS'de Süre Modelleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:52.374Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.097Z","tags":["Duration Modeling","TTS","Prosody","Speech Timing"]}},{"page_content":"# Duration Modeling in TTS\n\n**Definition:** A modeling layer that determines how long each phoneme or unit should be spoken in speech synthesis and strongly affects fluency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/duration-modeling-in-tts","slug":"duration-modeling-in-tts","lang":"en","title":"Duration Modeling in TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:52.374Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.097Z","tags":["Duration Modeling","TTS","Prosody","Speech Timing"]}},{"page_content":"# Durum (State)\n\n**Definition:** Bir sistemin veya çevrenin belirli bir anda karar vermek açısından anlamlı biçimde tanımlanan hali.","metadata":{"source":"https://sukruyusufkaya.com/glossary/durum","slug":"durum","lang":"tr","title":"Durum (State)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:39:30.824Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.075Z","tags":["State","Durum","Karar","Ajan"]}},{"page_content":"# State\n\n**Definition:** A meaningful description of a system or environment at a given moment for decision-making purposes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/durum","slug":"durum","lang":"en","title":"State","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:39:30.824Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.075Z","tags":["State","Durum","Karar","Ajan"]}},{"page_content":"# Düzenlileştirme\n\n**Definition:** Modelin eğitim verisine aşırı uyum göstermesini engellemek ve genelleme gücünü artırmak için kullanılan teknikler bütünü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/duzenlilestirme","slug":"duzenlilestirme","lang":"tr","title":"Düzenlileştirme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:45.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.341Z","tags":["Regularization","Overfitting","Genelleme","Model"]}},{"page_content":"# Regularization\n\n**Definition:** A set of techniques used to reduce overfitting and improve a model’s ability to generalize.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/duzenlilestirme","slug":"duzenlilestirme","lang":"en","title":"Regularization","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:45.451Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.341Z","tags":["Regularization","Overfitting","Genelleme","Model"]}},{"page_content":"# Early Stopping\n\n**Definition:** Doğrulama performansı bozulmaya başladığında eğitimi durdurarak aşırı uyumu önleyen strateji.","metadata":{"source":"https://sukruyusufkaya.com/glossary/early-stopping","slug":"early-stopping","lang":"tr","title":"Early Stopping","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:34.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.747Z","tags":["Early Stopping","Regularization","Validation","Overfitting"]}},{"page_content":"# Early Stopping\n\n**Definition:** A strategy that prevents overfitting by stopping training when validation performance begins to deteriorate.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/early-stopping","slug":"early-stopping","lang":"en","title":"Early Stopping","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:34.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.747Z","tags":["Early Stopping","Regularization","Validation","Overfitting"]}},{"page_content":"# Earth Mover’s Distance\n\n**Definition:** Bir dağılımı diğerine dönüştürmek için ne kadar kütle taşınması gerektiğini ölçen mesafe kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/earth-movers-distance","slug":"earth-movers-distance","lang":"tr","title":"Earth Mover’s Distance","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:54.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.518Z","tags":["Earth Mover's Distance","Optimal Transport","Generative Models","Similarity"]}},{"page_content":"# Earth Mover’s Distance\n\n**Definition:** A distance concept that measures how much mass must be moved to transform one distribution into another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/earth-movers-distance","slug":"earth-movers-distance","lang":"en","title":"Earth Mover’s Distance","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:54.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.518Z","tags":["Earth Mover's Distance","Optimal Transport","Generative Models","Similarity"]}},{"page_content":"# ECAPA-TDNN\n\n**Definition:** Konuşmacı embedding kalitesini artırmak için kanal dikkat ve çok ölçekli zaman yapıları kullanan gelişmiş mimari.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ecapa-tdnn","slug":"ecapa-tdnn","lang":"tr","title":"ECAPA-TDNN","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:19.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.574Z","tags":["ECAPA-TDNN","Speaker Recognition","Embeddings","Voice Biometrics"]}},{"page_content":"# ECAPA-TDNN\n\n**Definition:** An advanced architecture that uses channel attention and multi-scale temporal structure to improve speaker embedding quality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ecapa-tdnn","slug":"ecapa-tdnn","lang":"en","title":"ECAPA-TDNN","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:19.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.574Z","tags":["ECAPA-TDNN","Speaker Recognition","Embeddings","Voice Biometrics"]}},{"page_content":"# Eko İptali\n\n**Definition:** Hoparlörden çıkan sesin mikrofona geri dönerek iletişimi bozmasını önlemeye odaklanan gerçek zamanlı işleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/echo-cancellation","slug":"echo-cancellation","lang":"tr","title":"Eko İptali","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:55:26.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.501Z","tags":["Echo Cancellation","Teleconferencing","Speech Enhancement","Audio Systems"]}},{"page_content":"# Echo Cancellation\n\n**Definition:** A real-time processing task focused on preventing speaker output from looping back into the microphone and degrading communication.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/echo-cancellation","slug":"echo-cancellation","lang":"en","title":"Echo Cancellation","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:55:26.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.501Z","tags":["Echo Cancellation","Teleconferencing","Speech Enhancement","Audio Systems"]}},{"page_content":"# Kenar Tespiti\n\n**Definition:** Yoğunluk değişimlerinin yüksek olduğu sınırları bularak görüntü yapısını özetleyen klasik özellik çıkarımı görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/edge-detection","slug":"edge-detection","lang":"tr","title":"Kenar Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.788Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.665Z","tags":["Edge Detection","Feature Extraction","Classical Vision","Image Structure"]}},{"page_content":"# Edge Detection\n\n**Definition:** A classical feature extraction task that summarizes image structure by finding boundaries with strong intensity changes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/edge-detection","slug":"edge-detection","lang":"en","title":"Edge Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.788Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.665Z","tags":["Edge Detection","Feature Extraction","Classical Vision","Image Structure"]}},{"page_content":"# Eğitim / Doğrulama / Test Ayrımı\n\n**Definition:** Modelin öğrenme, ayar ve nihai değerlendirme aşamalarını dürüst biçimde ayırmak için kullanılan temel veri bölme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/egitim-dogrulama-test-ayrimi","slug":"egitim-dogrulama-test-ayrimi","lang":"tr","title":"Eğitim / Doğrulama / Test Ayrımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:28.736Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.781Z","tags":["Train Test Split","Validation","Evaluation","Generalization"]}},{"page_content":"# Train / Validation / Test Split\n\n**Definition:** A core data splitting approach used to separate model learning, tuning, and final evaluation in an honest way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/egitim-dogrulama-test-ayrimi","slug":"egitim-dogrulama-test-ayrimi","lang":"en","title":"Train / Validation / Test Split","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:28.736Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.781Z","tags":["Train Test Split","Validation","Evaluation","Generalization"]}},{"page_content":"# Eksik Veri\n\n**Definition:** Bir gözlemde bulunması beklenen alanların boş, null veya bilinmeyen olarak yer alması durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/eksik-veri","slug":"eksik-veri","lang":"tr","title":"Eksik Veri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:42.525Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.465Z","tags":["Missing Data","Null","Cleaning","Imputation"]}},{"page_content":"# Missing Data\n\n**Definition:** A condition in which fields expected in an observation appear as empty, null, or unknown.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/eksik-veri","slug":"eksik-veri","lang":"en","title":"Missing Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:42.525Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.465Z","tags":["Missing Data","Null","Cleaning","Imputation"]}},{"page_content":"# Elastic Net Regresyon\n\n**Definition:** L1 ve L2 düzenlileştirmeyi birlikte kullanarak hem katsayı küçültme hem de kısmi özellik seçimi sağlayan regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/elastic-net-regression","slug":"elastic-net-regression","lang":"tr","title":"Elastic Net Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:40:21.502Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.599Z","tags":["Elastic Net","Regression","Regularization","Feature Selection"]}},{"page_content":"# Elastic Net Regression\n\n**Definition:** A regression method that combines L1 and L2 regularization to provide both coefficient shrinkage and partial feature selection.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/elastic-net-regression","slug":"elastic-net-regression","lang":"en","title":"Elastic Net Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:40:21.502Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.599Z","tags":["Elastic Net","Regression","Regularization","Feature Selection"]}},{"page_content":"# Elliptic Envelope\n\n**Definition:** Verinin yaklaşık eliptik dağıldığını varsayarak aykırı örnekleri tespit eden istatistiksel anomali yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/elliptic-envelope","slug":"elliptic-envelope","lang":"tr","title":"Elliptic Envelope","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:04.091Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.941Z","tags":["Elliptic Envelope","Anomaly Detection","Statistics","Outliers"]}},{"page_content":"# Elliptic Envelope\n\n**Definition:** A statistical anomaly method that detects outliers by assuming the data follows an approximately elliptical distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/elliptic-envelope","slug":"elliptic-envelope","lang":"en","title":"Elliptic Envelope","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:04.091Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.941Z","tags":["Elliptic Envelope","Anomaly Detection","Statistics","Outliers"]}},{"page_content":"# ELT\n\n**Definition:** Verinin önce hedef platforma yüklendiği, dönüşümlerin ise depolama veya hesaplama katmanında sonradan yapıldığı modern yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/elt","slug":"elt","lang":"tr","title":"ELT","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:21.948Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.032Z","tags":["ELT","Cloud Data","Warehouse","Modern Analytics"]}},{"page_content":"# ELT\n\n**Definition:** A modern approach in which data is loaded into the target platform first, and transformations are performed later inside the storage or compute layer.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/elt","slug":"elt","lang":"en","title":"ELT","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:21.948Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.032Z","tags":["ELT","Cloud Data","Warehouse","Modern Analytics"]}},{"page_content":"# ELU\n\n**Definition:** Negatif bölgede yumuşak üstel davranış göstererek daha dengeli aktivasyon dağılımı üretmeyi amaçlayan fonksiyon.","metadata":{"source":"https://sukruyusufkaya.com/glossary/elu","slug":"elu","lang":"tr","title":"ELU","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:18.637Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.935Z","tags":["ELU","Activation Function","Optimization","Neural Networks"]}},{"page_content":"# ELU\n\n**Definition:** An activation function that uses smooth exponential behavior in the negative region to encourage a more balanced activation distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/elu","slug":"elu","lang":"en","title":"ELU","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:18.637Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.935Z","tags":["ELU","Activation Function","Optimization","Neural Networks"]}},{"page_content":"# Embedding\n\n**Definition:** Kelime, belge, görsel veya başka bir varlığın anlamını yoğun sayısal vektörler halinde taşıyan öğrenilmiş gösterim.","metadata":{"source":"https://sukruyusufkaya.com/glossary/embedding","slug":"embedding","lang":"tr","title":"Embedding","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:30:35.389Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.913Z","tags":["Embedding","Vektör","Semantik","Search"]}},{"page_content":"# Embedding\n\n**Definition:** A learned dense vector representation that carries the meaning of a word, document, image, or another entity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/embedding","slug":"embedding","lang":"en","title":"Embedding","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:30:35.389Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.913Z","tags":["Embedding","Vektör","Semantik","Search"]}},{"page_content":"# Embedding Versiyonlama\n\n**Definition:** Farklı embedding modelleri veya güncellenmiş embedding üretim süreçlerinin sürümlerle yönetilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/embedding-versioning","slug":"embedding-versioning","lang":"tr","title":"Embedding Versiyonlama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:14.963Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.973Z","tags":["Embedding Versioning","Vector Database","Retrieval","Governance"]}},{"page_content":"# Embedding Versioning\n\n**Definition:** An approach for managing different embedding models or updated embedding-generation processes through versions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/embedding-versioning","slug":"embedding-versioning","lang":"en","title":"Embedding Versioning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:14.963Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.973Z","tags":["Embedding Versioning","Vector Database","Retrieval","Governance"]}},{"page_content":"# Ortaya Çıkan Yetenekler\n\n**Definition:** Model belirli bir ölçeğe ulaştığında beklenmedik biçimde daha güçlü hale gelen görev davranışları.","metadata":{"source":"https://sukruyusufkaya.com/glossary/emergent-capabilities","slug":"emergent-capabilities","lang":"tr","title":"Ortaya Çıkan Yetenekler","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:56.713Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.076Z","tags":["Emergence","Scaling","Capabilities","Foundation Models"]}},{"page_content":"# Emergent Capabilities\n\n**Definition:** Task behaviors that appear significantly stronger once a model reaches a certain scale.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/emergent-capabilities","slug":"emergent-capabilities","lang":"en","title":"Emergent Capabilities","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:56.713Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.076Z","tags":["Emergence","Scaling","Capabilities","Foundation Models"]}},{"page_content":"# Duygu Neden Analizi\n\n**Definition:** Metindeki duygunun yalnızca türünü değil, o duyguyu tetikleyen neden bölümünü bulmaya odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/emotion-cause-analysis","slug":"emotion-cause-analysis","lang":"tr","title":"Duygu Neden Analizi","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:25.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.278Z","tags":["Emotion Cause Analysis","Sentiment","Explainability","Feedback Analytics"]}},{"page_content":"# Emotion Cause Analysis\n\n**Definition:** A task focused not only on identifying the emotion in text but also on finding the part that triggered it.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/emotion-cause-analysis","slug":"emotion-cause-analysis","lang":"en","title":"Emotion Cause Analysis","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:25.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.278Z","tags":["Emotion Cause Analysis","Sentiment","Explainability","Feedback Analytics"]}},{"page_content":"# Duygu Sınıflandırma\n\n**Definition:** Metni mutluluk, öfke, korku, üzüntü gibi daha ayrıntılı duygusal kategorilere ayıran görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/emotion-classification","slug":"emotion-classification","lang":"tr","title":"Duygu Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:41.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.566Z","tags":["Emotion Classification","Affective Computing","Sentiment","NLP"]}},{"page_content":"# Emotion Classification\n\n**Definition:** A task that classifies text into finer-grained emotional categories such as joy, anger, fear, or sadness.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/emotion-classification","slug":"emotion-classification","lang":"en","title":"Emotion Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:41.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.566Z","tags":["Emotion Classification","Affective Computing","Sentiment","NLP"]}},{"page_content":"# Encoder-Decoder RNN\n\n**Definition:** Giriş sekansını sıkıştırılmış bağlama dönüştürüp oradan çıktı sekansı üreten klasik sıralı mimari.","metadata":{"source":"https://sukruyusufkaya.com/glossary/encoder-decoder-rnn","slug":"encoder-decoder-rnn","lang":"tr","title":"Encoder-Decoder RNN","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:12.841Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.883Z","tags":["Encoder-Decoder","RNN","Seq2Seq","Sequence Generation"]}},{"page_content":"# Encoder-Decoder RNN\n\n**Definition:** A classical sequential architecture that compresses an input sequence into context and generates an output sequence from it.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/encoder-decoder-rnn","slug":"encoder-decoder-rnn","lang":"en","title":"Encoder-Decoder RNN","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:12.841Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.883Z","tags":["Encoder-Decoder","RNN","Seq2Seq","Sequence Generation"]}},{"page_content":"# Encoder-Decoder Transformer\n\n**Definition:** Girdi sekansını kodlayıp çıktı sekansını bağlamsal olarak üreten klasik Transformer mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/encoder-decoder-transformer","slug":"encoder-decoder-transformer","lang":"tr","title":"Encoder-Decoder Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:25.443Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.057Z","tags":["Encoder-Decoder","Transformers","Seq2Seq","Generation"]}},{"page_content":"# Encoder-Decoder Transformer\n\n**Definition:** The classical Transformer architecture that encodes an input sequence and contextually generates an output sequence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/encoder-decoder-transformer","slug":"encoder-decoder-transformer","lang":"en","title":"Encoder-Decoder Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:25.443Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.057Z","tags":["Encoder-Decoder","Transformers","Seq2Seq","Generation"]}},{"page_content":"# Encoder-Only Transformer\n\n**Definition:** Bağlamsal temsil öğrenmeye odaklanan ve çoğunlukla anlama görevlerinde kullanılan Transformer mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/encoder-only-transformer","slug":"encoder-only-transformer","lang":"tr","title":"Encoder-Only Transformer","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:58.408Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.008Z","tags":["Encoder-Only Transformer","BERT","Representation Learning","NLP"]}},{"page_content":"# Encoder-Only Transformer\n\n**Definition:** A Transformer architecture focused on contextual representation learning and used mainly for understanding tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/encoder-only-transformer","slug":"encoder-only-transformer","lang":"en","title":"Encoder-Only Transformer","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:58.408Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.008Z","tags":["Encoder-Only Transformer","BERT","Representation Learning","NLP"]}},{"page_content":"# Kodlama (Encoding)\n\n**Definition:** Kategorik verilerin modellerin işleyebileceği sayısal temsillere dönüştürülmesi işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/encoding","slug":"encoding","lang":"tr","title":"Kodlama (Encoding)","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:17:32.230Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.106Z","tags":["Encoding","Categorical Data","Feature Representation","ML"]}},{"page_content":"# Encoding\n\n**Definition:** The process of converting categorical data into numerical representations that models can process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/encoding","slug":"encoding","lang":"en","title":"Encoding","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:17:32.230Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.106Z","tags":["Encoding","Categorical Data","Feature Representation","ML"]}},{"page_content":"# Uçtan Uca Konuşma Tanıma\n\n**Definition:** Ayrı akustik ve dil modelleri yerine tek birleşik ağ ile konuşmadan metne dönüşüm yapan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/end-to-end-asr","slug":"end-to-end-asr","lang":"tr","title":"Uçtan Uca Konuşma Tanıma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:57.795Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.097Z","tags":["End-to-End ASR","Transformer","Speech Recognition","Audio Models"]}},{"page_content":"# End-to-End ASR\n\n**Definition:** An approach that performs speech-to-text conversion with a single unified network instead of separate acoustic and language models.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/end-to-end-asr","slug":"end-to-end-asr","lang":"en","title":"End-to-End ASR","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:57.795Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.097Z","tags":["End-to-End ASR","Transformer","Speech Recognition","Audio Models"]}},{"page_content":"# Uçtan Uca Sinirsel Diarization\n\n**Definition:** Segmentleme, konuşmacı ayırma ve zamanlama kararlarını daha birleşik biçimde öğrenen modern diarization yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/end-to-end-neural-diarization","slug":"end-to-end-neural-diarization","lang":"tr","title":"Uçtan Uca Sinirsel Diarization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:59.223Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.855Z","tags":["EEND","Diarization","Neural Audio","Meetings"]}},{"page_content":"# End-to-End Neural Diarization\n\n**Definition:** A modern diarization approach that learns segmentation, speaker separation, and timing decisions in a more unified way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/end-to-end-neural-diarization","slug":"end-to-end-neural-diarization","lang":"en","title":"End-to-End Neural Diarization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:59.223Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.855Z","tags":["EEND","Diarization","Neural Audio","Meetings"]}},{"page_content":"# Varlık Bağlama\n\n**Definition:** Metinde geçen bir varlığı bilgi tabanındaki doğru kimlik veya kavramla eşleştirme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/entity-linking","slug":"entity-linking","lang":"tr","title":"Varlık Bağlama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:03.419Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.930Z","tags":["Entity Linking","NER","Knowledge Bases","Disambiguation"]}},{"page_content":"# Entity Linking\n\n**Definition:** The task of matching an entity mention in text to the correct identity or concept in a knowledge base.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/entity-linking","slug":"entity-linking","lang":"en","title":"Entity Linking","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:03.419Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.930Z","tags":["Entity Linking","NER","Knowledge Bases","Disambiguation"]}},{"page_content":"# Entity Resolution\n\n**Definition:** Farklı kayıtların gerçekte aynı varlığı temsil edip etmediğini belirlemeye yönelik eşleştirme ve birleştirme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/entity-resolution","slug":"entity-resolution","lang":"tr","title":"Entity Resolution","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:21:00.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.878Z","tags":["Entity Resolution","Deduplication","Identity Matching","Data Cleaning"]}},{"page_content":"# Entity Resolution\n\n**Definition:** The process of determining whether different records actually refer to the same real-world entity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/entity-resolution","slug":"entity-resolution","lang":"en","title":"Entity Resolution","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:21:00.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.878Z","tags":["Entity Resolution","Deduplication","Identity Matching","Data Cleaning"]}},{"page_content":"# Entropi\n\n**Definition:** Bir olasılık dağılımındaki belirsizlik, düzensizlik veya bilgi içeriğini ölçen temel bilgi teorisi kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/entropi","slug":"entropi","lang":"tr","title":"Entropi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:53.114Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.324Z","tags":["Entropy","Uncertainty","Information Theory","ML"]}},{"page_content":"# Entropy\n\n**Definition:** A fundamental information-theoretic concept that measures uncertainty, disorder, or information content in a probability distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/entropi","slug":"entropi","lang":"en","title":"Entropy","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:53.114Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.324Z","tags":["Entropy","Uncertainty","Information Theory","ML"]}},{"page_content":"# Etiket Ontolojisi\n\n**Definition:** Etiketlerin hiyerarşik, ilişkisel ve kavramsal yapısını tanımlayan sınıflandırma çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/etiket-ontolojisi","slug":"etiket-ontolojisi","lang":"tr","title":"Etiket Ontolojisi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:56.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.496Z","tags":["Label Ontology","Taxonomy","Annotation Design","Consistency"]}},{"page_content":"# Label Ontology\n\n**Definition:** A classification framework that defines the hierarchical, relational, and conceptual structure of labels.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/etiket-ontolojisi","slug":"etiket-ontolojisi","lang":"en","title":"Label Ontology","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:56.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.496Z","tags":["Label Ontology","Taxonomy","Annotation Design","Consistency"]}},{"page_content":"# Etiketleme Rehberi\n\n**Definition:** Etiketleme sürecinde hangi kuralların, örneklerin ve istisnaların uygulanacağını tanımlayan resmi yönerge dokümanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/etiketleme-rehberi","slug":"etiketleme-rehberi","lang":"tr","title":"Etiketleme Rehberi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:45.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.970Z","tags":["Labeling Guideline","Annotation Quality","Operations","Consistency"]}},{"page_content":"# Labeling Guideline\n\n**Definition:** A formal instruction document defining the rules, examples, and exceptions to be used during labeling.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/etiketleme-rehberi","slug":"etiketleme-rehberi","lang":"en","title":"Labeling Guideline","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:45.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.970Z","tags":["Labeling Guideline","Annotation Quality","Operations","Consistency"]}},{"page_content":"# Etki Büyüklüğü\n\n**Definition:** Gözlenen farkın ya da ilişkinin yalnızca anlamlı olup olmadığını değil, ne kadar büyük olduğunu gösteren ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/etki-buyuklugu","slug":"etki-buyuklugu","lang":"tr","title":"Etki Büyüklüğü","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:48:21.235Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.314Z","tags":["Effect Size","Practical Significance","Testing","A/B Testing"]}},{"page_content":"# Effect Size\n\n**Definition:** A measure that captures not just whether an effect is significant, but how large it actually is.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/etki-buyuklugu","slug":"etki-buyuklugu","lang":"en","title":"Effect Size","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:48:21.235Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.314Z","tags":["Effect Size","Practical Significance","Testing","A/B Testing"]}},{"page_content":"# Etkileşim Özelliği\n\n**Definition:** İki veya daha fazla özelliğin birlikte etkisini yansıtmak için oluşturulan birleşik değişken.","metadata":{"source":"https://sukruyusufkaya.com/glossary/etkilesim-ozelligi","slug":"etkilesim-ozelligi","lang":"tr","title":"Etkileşim Özelliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:02.192Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.563Z","tags":["Interaction Feature","Feature Engineering","Linear Models","Nonlinearity"]}},{"page_content":"# Interaction Feature\n\n**Definition:** A combined variable created to capture the joint effect of two or more features.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/etkilesim-ozelligi","slug":"etkilesim-ozelligi","lang":"en","title":"Interaction Feature","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:02.192Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.563Z","tags":["Interaction Feature","Feature Engineering","Linear Models","Nonlinearity"]}},{"page_content":"# ETL\n\n**Definition:** Verinin kaynak sistemlerden çekilip dönüştürüldükten sonra hedef analitik ortama yüklendiği klasik veri entegrasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/etl","slug":"etl","lang":"tr","title":"ETL","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:24.264Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:52.943Z","tags":["ETL","Data Integration","Transformation","Warehouse"]}},{"page_content":"# ETL\n\n**Definition:** A classic data integration approach in which data is extracted from source systems, transformed, and then loaded into a target analytical environment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/etl","slug":"etl","lang":"en","title":"ETL","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:24.264Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:52.943Z","tags":["ETL","Data Integration","Transformation","Warehouse"]}},{"page_content":"# Olay Eş Gönderimi\n\n**Definition:** Farklı cümle veya belgelerde geçen olay anlatımlarının aynı gerçek olaya karşılık gelip gelmediğini belirleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/event-coreference","slug":"event-coreference","lang":"tr","title":"Olay Eş Gönderimi","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:27.320Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.465Z","tags":["Event Coreference","Event Extraction","Timeline","Structured NLP"]}},{"page_content":"# Event Coreference\n\n**Definition:** The task of determining whether event mentions across sentences or documents refer to the same underlying event.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/event-coreference","slug":"event-coreference","lang":"en","title":"Event Coreference","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:27.320Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.465Z","tags":["Event Coreference","Event Extraction","Timeline","Structured NLP"]}},{"page_content":"# Olay Çıkarımı\n\n**Definition:** Metinde geçen olayları, tetikleyicileri ve rol oynayan varlıkları yapılandırılmış biçimde çıkarma görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/event-extraction","slug":"event-extraction","lang":"tr","title":"Olay Çıkarımı","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:20.645Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.110Z","tags":["Event Extraction","Structured Information","Triggers","Text Intelligence"]}},{"page_content":"# Event Extraction\n\n**Definition:** The task of extracting events, triggers, and participating entities from text in a structured way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/event-extraction","slug":"event-extraction","lang":"en","title":"Event Extraction","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:20.645Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.110Z","tags":["Event Extraction","Structured Information","Triggers","Text Intelligence"]}},{"page_content":"# Olay Şema Kayıt Defteri\n\n**Definition:** Akış tabanlı sistemlerde olay şemalarının merkezi olarak tutulduğu ve evriminin yönetildiği yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/event-schema-registry","slug":"event-schema-registry","lang":"tr","title":"Olay Şema Kayıt Defteri","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:42.952Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.533Z","tags":["Schema Registry","Events","Streaming","Compatibility"]}},{"page_content":"# Event Schema Registry\n\n**Definition:** A structure in which event schemas are centrally stored and their evolution is managed in stream-based systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/event-schema-registry","slug":"event-schema-registry","lang":"en","title":"Event Schema Registry","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:42.952Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.533Z","tags":["Schema Registry","Events","Streaming","Compatibility"]}},{"page_content":"# Event Time\n\n**Definition:** Bir olayın sisteme ne zaman ulaştığından bağımsız olarak gerçekte ne zaman meydana geldiğini ifade eden zaman kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/event-time","slug":"event-time","lang":"tr","title":"Event Time","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:05.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.272Z","tags":["Event Time","Streaming","Windowing","Temporal Semantics"]}},{"page_content":"# Event Time\n\n**Definition:** A time concept expressing when an event actually occurred, independent of when it reached the system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/event-time","slug":"event-time","lang":"en","title":"Event Time","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:05.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.272Z","tags":["Event Time","Streaming","Windowing","Temporal Semantics"]}},{"page_content":"# Olay Takibi\n\n**Definition:** Kullanıcı veya sistem davranışlarının belirli olaylar şeklinde kaydedilmesini sağlayan izleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/event-tracking","slug":"event-tracking","lang":"tr","title":"Olay Takibi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:53:11.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.165Z","tags":["Event Tracking","Product Analytics","Logs","Measurement"]}},{"page_content":"# Event Tracking\n\n**Definition:** A tracking approach that records user or system behaviors as discrete events.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/event-tracking","slug":"event-tracking","lang":"en","title":"Event Tracking","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:53:11.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.165Z","tags":["Event Tracking","Product Analytics","Logs","Measurement"]}},{"page_content":"# Exactly-Once Semantics\n\n**Definition:** Her veri olayının sistem tarafından mantıksal olarak yalnızca bir kez işlenmesini garanti etmeyi hedefleyen işleme modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/exactly-once-semantics","slug":"exactly-once-semantics","lang":"tr","title":"Exactly-Once Semantics","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:01.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.458Z","tags":["Exactly-Once","Streaming","Distributed Systems","Reliability"]}},{"page_content":"# Exactly-Once Semantics\n\n**Definition:** A processing model that aims to guarantee each data event is logically handled exactly once by the system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/exactly-once-semantics","slug":"exactly-once-semantics","lang":"en","title":"Exactly-Once Semantics","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:01.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.458Z","tags":["Exactly-Once","Streaming","Distributed Systems","Reliability"]}},{"page_content":"# Gradyan Patlaması\n\n**Definition:** Geri yayılım sırasında gradyanların aşırı büyüyerek eğitimi kararsız hale getirdiği optimizasyon sorunu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/exploding-gradients","slug":"exploding-gradients","lang":"tr","title":"Gradyan Patlaması","category":"derin-ogrenme","updatedAt":"2026-06-27T22:40:20.664Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.479Z","tags":["Exploding Gradients","Training Stability","Optimization","Deep Learning"]}},{"page_content":"# Exploding Gradients\n\n**Definition:** An optimization problem in which gradients grow excessively during backpropagation and destabilize training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/exploding-gradients","slug":"exploding-gradients","lang":"en","title":"Exploding Gradients","category":"derin-ogrenme","updatedAt":"2026-06-27T22:40:20.664Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.479Z","tags":["Exploding Gradients","Training Stability","Optimization","Deep Learning"]}},{"page_content":"# Üstel Dağılım\n\n**Definition:** Bir olayın gerçekleşmesine kadar geçen süreyi modellemek için kullanılan sürekli dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/exponential-dagilim","slug":"exponential-dagilim","lang":"tr","title":"Üstel Dağılım","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:30.218Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.608Z","tags":["Exponential Distribution","Waiting Time","Memoryless","Probability"]}},{"page_content":"# Exponential Distribution\n\n**Definition:** A continuous distribution used to model the waiting time until an event occurs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/exponential-dagilim","slug":"exponential-dagilim","lang":"en","title":"Exponential Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:30.218Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.608Z","tags":["Exponential Distribution","Waiting Time","Memoryless","Probability"]}},{"page_content":"# Üstel Düzeltme\n\n**Definition:** Geçmiş gözlemlere ağırlık vererek seviye, trend ve mevsimselliği modelleyebilen zaman serisi yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/exponential-smoothing","slug":"exponential-smoothing","lang":"tr","title":"Üstel Düzeltme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:22.623Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.859Z","tags":["Exponential Smoothing","Forecasting","Seasonality","Time Series"]}},{"page_content":"# Exponential Smoothing\n\n**Definition:** A time series method that assigns weighted importance to past observations and can model level, trend, and seasonality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/exponential-smoothing","slug":"exponential-smoothing","lang":"en","title":"Exponential Smoothing","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:22.623Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.859Z","tags":["Exponential Smoothing","Forecasting","Seasonality","Time Series"]}},{"page_content":"# Exposure Bias\n\n**Definition:** Eğitimde doğru geçmiş bağlamı gören modelin çıkarımda kendi hatalı geçmişiyle karşılaşması sorunu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/exposure-bias","slug":"exposure-bias","lang":"tr","title":"Exposure Bias","category":"derin-ogrenme","updatedAt":"2026-06-27T23:43:07.610Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.974Z","tags":["Exposure Bias","Sequence Generation","Training vs Inference","Autoregressive Models"]}},{"page_content":"# Exposure Bias\n\n**Definition:** The problem in which a model trained on correct past context must face its own imperfect history during inference.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/exposure-bias","slug":"exposure-bias","lang":"en","title":"Exposure Bias","category":"derin-ogrenme","updatedAt":"2026-06-27T23:43:07.610Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.974Z","tags":["Exposure Bias","Sequence Generation","Training vs Inference","Autoregressive Models"]}},{"page_content":"# İfadeli Konuşma Sentezi\n\n**Definition:** Yalnızca doğru metni değil, uygun üslup, ton ve duygusal etkiyi de üretmeye odaklanan TTS yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/expressive-speech-synthesis","slug":"expressive-speech-synthesis","lang":"tr","title":"İfadeli Konuşma Sentezi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:36.945Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.297Z","tags":["Expressive TTS","Prosody","Voice Style","Speech Synthesis"]}},{"page_content":"# Expressive Speech Synthesis\n\n**Definition:** A TTS approach focused on generating not only correct words but also appropriate style, tone, and emotional effect.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/expressive-speech-synthesis","slug":"expressive-speech-synthesis","lang":"en","title":"Expressive Speech Synthesis","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:36.945Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.297Z","tags":["Expressive TTS","Prosody","Voice Style","Speech Synthesis"]}},{"page_content":"# Extractive Soru Cevaplama\n\n**Definition:** Cevabı verilen pasaj içinden span olarak seçmeye dayanan soru cevaplama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/extractive-question-answering","slug":"extractive-question-answering","lang":"tr","title":"Extractive Soru Cevaplama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:41:44.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.933Z","tags":["Extractive QA","Question Answering","Grounding","Document QA"]}},{"page_content":"# Extractive Question Answering\n\n**Definition:** A question answering approach that selects the answer as a span from a provided passage.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/extractive-question-answering","slug":"extractive-question-answering","lang":"en","title":"Extractive Question Answering","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:41:44.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.933Z","tags":["Extractive QA","Question Answering","Grounding","Document QA"]}},{"page_content":"# Extractive Özetleme\n\n**Definition:** Metnin önemli cümlelerini seçerek özet oluşturan içerik korumalı özetleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/extractive-summarization","slug":"extractive-summarization","lang":"tr","title":"Extractive Özetleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:25.511Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.388Z","tags":["Extractive Summarization","Summarization","Reliability","Document Processing"]}},{"page_content":"# Extractive Summarization\n\n**Definition:** A content-preserving summarization approach that creates summaries by selecting important sentences from the source text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/extractive-summarization","slug":"extractive-summarization","lang":"en","title":"Extractive Summarization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:25.511Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.388Z","tags":["Extractive Summarization","Summarization","Reliability","Document Processing"]}},{"page_content":"# Eylem\n\n**Definition:** Ajanın mevcut duruma göre seçtiği ve çevre üzerinde etkide bulunan karar çıktısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/eylem","slug":"eylem","lang":"tr","title":"Eylem","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:37.908Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.164Z","tags":["Action","Aksiyon","Karar","Davranış"]}},{"page_content":"# Action\n\n**Definition:** The decision output chosen by an agent according to the current state, which produces an effect on the environment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/eylem","slug":"eylem","lang":"en","title":"Action","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:37.908Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.164Z","tags":["Action","Aksiyon","Karar","Davranış"]}},{"page_content":"# Yüz Hizalama\n\n**Definition:** Yüzü ortak geometrik referansa oturtarak sonraki analiz görevlerini daha tutarlı hale getiren işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-alignment","slug":"face-alignment","lang":"tr","title":"Yüz Hizalama","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:46.530Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.404Z","tags":["Face Alignment","Pose Normalization","Face Recognition","Vision"]}},{"page_content":"# Face Alignment\n\n**Definition:** A process that places the face into a common geometric reference frame to make downstream analysis more consistent.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-alignment","slug":"face-alignment","lang":"en","title":"Face Alignment","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:46.530Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.404Z","tags":["Face Alignment","Pose Normalization","Face Recognition","Vision"]}},{"page_content":"# Yüz Sahteciliği Önleme\n\n**Definition:** Basılı fotoğraf, ekran gösterimi veya maske gibi saldırıları gerçek yüz erişiminden ayırmayı amaçlayan güvenlik görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-anti-spoofing","slug":"face-anti-spoofing","lang":"tr","title":"Yüz Sahteciliği Önleme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:45:03.966Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.229Z","tags":["Face Anti-Spoofing","Biometric Security","Liveness Detection","Face Analysis"]}},{"page_content":"# Face Anti-Spoofing\n\n**Definition:** A security task that aims to distinguish attacks such as printed photos, replay screens, or masks from genuine face access.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-anti-spoofing","slug":"face-anti-spoofing","lang":"en","title":"Face Anti-Spoofing","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:45:03.966Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.229Z","tags":["Face Anti-Spoofing","Biometric Security","Liveness Detection","Face Analysis"]}},{"page_content":"# Yüz Tespiti\n\n**Definition:** Bir görüntü veya videoda yüz bölgelerinin konumunu belirlemeye odaklanan temel yüz analizi görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-detection","slug":"face-detection","lang":"tr","title":"Yüz Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:33.235Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.218Z","tags":["Face Detection","Vision","Localization","Face Analysis"]}},{"page_content":"# Face Detection\n\n**Definition:** A core face analysis task focused on locating face regions in an image or video.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-detection","slug":"face-detection","lang":"en","title":"Face Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:33.235Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.218Z","tags":["Face Detection","Vision","Localization","Face Analysis"]}},{"page_content":"# Yüz Embedding Uzayı\n\n**Definition:** Yüz görüntülerini kimlik benzerliğine göre konumlandıran ayrıştırıcı temsil uzayı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-embedding-space","slug":"face-embedding-space","lang":"tr","title":"Yüz Embedding Uzayı","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:38.597Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.514Z","tags":["Face Embeddings","Biometrics","Metric Learning","Face Recognition"]}},{"page_content":"# Face Embedding Space\n\n**Definition:** A discriminative representation space that positions face images according to identity similarity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-embedding-space","slug":"face-embedding-space","lang":"en","title":"Face Embedding Space","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:38.597Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.514Z","tags":["Face Embeddings","Biometrics","Metric Learning","Face Recognition"]}},{"page_content":"# Yüz Tanıma\n\n**Definition:** Yüz görüntüsünden kimlik benzeri ayrıştırıcı temsil üreterek kişileri ayırt etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-recognition","slug":"face-recognition","lang":"tr","title":"Yüz Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:36.057Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.495Z","tags":["Face Recognition","Biometrics","Embeddings","Vision"]}},{"page_content":"# Face Recognition\n\n**Definition:** A task focused on distinguishing individuals by producing identity-like discriminative representations from face images.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-recognition","slug":"face-recognition","lang":"en","title":"Face Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:36.057Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.495Z","tags":["Face Recognition","Biometrics","Embeddings","Vision"]}},{"page_content":"# Yüz Doğrulama\n\n**Definition:** İki yüz görüntüsünün aynı kişiye ait olup olmadığını değerlendiren ikili karar problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/face-verification","slug":"face-verification","lang":"tr","title":"Yüz Doğrulama","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:55:25.470Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.594Z","tags":["Face Verification","Biometric Matching","Security","Vision"]}},{"page_content":"# Face Verification\n\n**Definition:** A binary decision problem that evaluates whether two face images belong to the same person.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/face-verification","slug":"face-verification","lang":"en","title":"Face Verification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:55:25.470Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.594Z","tags":["Face Verification","Biometric Matching","Security","Vision"]}},{"page_content":"# Yüz İfadesi Tanıma\n\n**Definition:** Yüz kas hareketlerinden duygusal veya davranışsal ifade türlerini tahmin etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/facial-expression-recognition","slug":"facial-expression-recognition","lang":"tr","title":"Yüz İfadesi Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:50.956Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.696Z","tags":["Facial Expression Recognition","Affective Computing","Face Analysis","Emotion AI"]}},{"page_content":"# Facial Expression Recognition\n\n**Definition:** A task focused on predicting emotional or behavioral expression types from facial muscle movement patterns.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/facial-expression-recognition","slug":"facial-expression-recognition","lang":"en","title":"Facial Expression Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:50.956Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.696Z","tags":["Facial Expression Recognition","Affective Computing","Face Analysis","Emotion AI"]}},{"page_content":"# Yüz İşaret Noktası Tespiti\n\n**Definition:** Göz, burun, ağız ve çene gibi yüz anatomisinin kilit noktalarını belirleyen hassas görü görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/facial-landmark-detection","slug":"facial-landmark-detection","lang":"tr","title":"Yüz İşaret Noktası Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:39.016Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.311Z","tags":["Facial Landmarks","Face Geometry","Alignment","Vision"]}},{"page_content":"# Facial Landmark Detection\n\n**Definition:** A fine-grained vision task that identifies key points of face anatomy such as eyes, nose, mouth, and jaw.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/facial-landmark-detection","slug":"facial-landmark-detection","lang":"en","title":"Facial Landmark Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:39.016Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.311Z","tags":["Facial Landmarks","Face Geometry","Alignment","Vision"]}},{"page_content":"# Olgusal Tutarlılık Değerlendirmesi\n\n**Definition:** Üretilen özet veya yanıtın kaynak içerikteki gerçeklerle ne kadar tutarlı olduğunu ölçen değerlendirme boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/factual-consistency-evaluation","slug":"factual-consistency-evaluation","lang":"tr","title":"Olgusal Tutarlılık Değerlendirmesi","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:39.878Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.823Z","tags":["Factual Consistency","Evaluation","Summarization","Generation Quality"]}},{"page_content":"# Factual Consistency Evaluation\n\n**Definition:** An evaluation dimension that measures how consistent a generated summary or answer is with the facts in the source content.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/factual-consistency-evaluation","slug":"factual-consistency-evaluation","lang":"en","title":"Factual Consistency Evaluation","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:39.878Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.823Z","tags":["Factual Consistency","Evaluation","Summarization","Generation Quality"]}},{"page_content":"# Olgusallık\n\n**Definition:** Üretilen içeriğin gerçek dünya bilgisi, kaynak verisi veya doğrulanabilir gerçeklerle ne kadar uyumlu olduğunu ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/factuality","slug":"factuality","lang":"tr","title":"Olgusallık","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:09.350Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.116Z","tags":["Factuality","Evaluation","Grounded AI","LLM"]}},{"page_content":"# Factuality\n\n**Definition:** A quality dimension describing how well generated content aligns with real-world facts, source data, or verifiable truth.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/factuality","slug":"factuality","lang":"en","title":"Factuality","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:09.350Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.116Z","tags":["Factuality","Evaluation","Grounded AI","LLM"]}},{"page_content":"# Yanlış Tetikleme Oranı\n\n**Definition:** Anahtar kelime sistemlerinin yanlışlıkla aktive olma sıklığını ifade eden kritik kalite metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/false-trigger-rate","slug":"false-trigger-rate","lang":"tr","title":"Yanlış Tetikleme Oranı","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:22:31.260Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.949Z","tags":["False Trigger Rate","Wake Word","Evaluation","Voice UX"]}},{"page_content":"# False Trigger Rate\n\n**Definition:** A critical quality metric expressing how often keyword systems activate incorrectly.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/false-trigger-rate","slug":"false-trigger-rate","lang":"en","title":"False Trigger Rate","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:22:31.260Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.949Z","tags":["False Trigger Rate","Wake Word","Evaluation","Voice UX"]}},{"page_content":"# FastText Embedding\n\n**Definition:** Kelimeyi alt karakter parçaları üzerinden temsil ederek nadir ve türetilmiş biçimlerde daha sağlam davranan embedding yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/fasttext-embeddings","slug":"fasttext-embeddings","lang":"tr","title":"FastText Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:05.986Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.407Z","tags":["FastText","Embeddings","Subword Information","Morphology"]}},{"page_content":"# FastText Embeddings\n\n**Definition:** An embedding method that represents words through sub-character pieces and behaves more robustly on rare and derived forms.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/fasttext-embeddings","slug":"fasttext-embeddings","lang":"en","title":"FastText Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:05.986Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.407Z","tags":["FastText","Embeddings","Subword Information","Morphology"]}},{"page_content":"# Fayda Fonksiyonu\n\n**Definition:** Farklı sonuçların veya kararların ne kadar tercih edilir olduğunu nicel olarak ifade eden fonksiyon.","metadata":{"source":"https://sukruyusufkaya.com/glossary/fayda-fonksiyonu","slug":"fayda-fonksiyonu","lang":"tr","title":"Fayda Fonksiyonu","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:31.259Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.256Z","tags":["Utility","Karar Teorisi","Rasyonellik","Optimizasyon"]}},{"page_content":"# Utility Function\n\n**Definition:** A function that quantitatively expresses how desirable different outcomes or decisions are.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/fayda-fonksiyonu","slug":"fayda-fonksiyonu","lang":"en","title":"Utility Function","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:31.259Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.256Z","tags":["Utility","Karar Teorisi","Rasyonellik","Optimizasyon"]}},{"page_content":"# Feature Tutarlılık Kontrolü\n\n**Definition:** Eğitim ve canlı servis tarafında kullanılan feature değerlerinin aynı tanım ve mantıkla üretildiğini doğrulayan kontrol süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-consistency-check","slug":"feature-consistency-check","lang":"tr","title":"Feature Tutarlılık Kontrolü","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:23.154Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.525Z","tags":["Feature Consistency","Train-Serve Skew","Feature Store","Quality"]}},{"page_content":"# Feature Consistency Check\n\n**Definition:** A validation process that verifies whether training-side and serving-side feature values are produced with the same logic and definition.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-consistency-check","slug":"feature-consistency-check","lang":"en","title":"Feature Consistency Check","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:23.154Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.525Z","tags":["Feature Consistency","Train-Serve Skew","Feature Store","Quality"]}},{"page_content":"# Feature Kullanımdan Kaldırma Politikası\n\n**Definition:** Artık önerilmeyen veya desteklenmeyen feature tanımlarının kontrollü biçimde kullanım dışına alınmasını yöneten politika.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-deprecation-policy","slug":"feature-deprecation-policy","lang":"tr","title":"Feature Kullanımdan Kaldırma Politikası","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:08.942Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.613Z","tags":["Feature Deprecation","Lifecycle","Feature Store","Governance"]}},{"page_content":"# Feature Deprecation Policy\n\n**Definition:** A policy that governs the controlled retirement of feature definitions that are no longer recommended or supported.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-deprecation-policy","slug":"feature-deprecation-policy","lang":"en","title":"Feature Deprecation Policy","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:08.942Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.613Z","tags":["Feature Deprecation","Lifecycle","Feature Store","Governance"]}},{"page_content":"# Feature Hashing\n\n**Definition:** Özellikleri sabit boyutlu bir uzaya hash fonksiyonlarıyla taşıyarak ölçeklenebilir temsil sağlayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-hashing","slug":"feature-hashing","lang":"tr","title":"Feature Hashing","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:12.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.844Z","tags":["Feature Hashing","Scalability","Sparse Features","Representation"]}},{"page_content":"# Feature Hashing\n\n**Definition:** A method that maps features into a fixed-dimensional space using hash functions to provide scalable representation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-hashing","slug":"feature-hashing","lang":"en","title":"Feature Hashing","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:12.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.844Z","tags":["Feature Hashing","Scalability","Sparse Features","Representation"]}},{"page_content":"# Özellik Hiyerarşisi\n\n**Definition:** Alt katmanlardan üst katmanlara doğru gidildikçe daha soyut temsillerin öğrenilmesi yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-hierarchy","slug":"feature-hierarchy","lang":"tr","title":"Özellik Hiyerarşisi","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:58.809Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.159Z","tags":["Feature Hierarchy","Representation Learning","Deep Networks","Abstraction"]}},{"page_content":"# Feature Hierarchy\n\n**Definition:** The structure in which representations become increasingly abstract from lower to higher layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-hierarchy","slug":"feature-hierarchy","lang":"en","title":"Feature Hierarchy","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:58.809Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.159Z","tags":["Feature Hierarchy","Representation Learning","Deep Networks","Abstraction"]}},{"page_content":"# Özellik Haritası\n\n**Definition:** Bir evrişim katmanının belirli filtreler aracılığıyla çıkardığı uzamsal aktivasyon temsili.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-map","slug":"feature-map","lang":"tr","title":"Özellik Haritası","category":"derin-ogrenme","updatedAt":"2026-06-27T21:21:14.985Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.438Z","tags":["Feature Map","CNN","Vision","Representation Learning"]}},{"page_content":"# Feature Map\n\n**Definition:** The spatial activation representation produced by a convolution layer through specific filters.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-map","slug":"feature-map","lang":"en","title":"Feature Map","category":"derin-ogrenme","updatedAt":"2026-06-27T21:21:14.985Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.438Z","tags":["Feature Map","CNN","Vision","Representation Learning"]}},{"page_content":"# Özellik Piramidi Ağı\n\n**Definition:** Farklı ölçeklerdeki görsel bilgiyi birleştirerek çok ölçekli nesne algısını güçlendiren mimari yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-pyramid-network","slug":"feature-pyramid-network","lang":"tr","title":"Özellik Piramidi Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:50.534Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.706Z","tags":["FPN","Multi-Scale Vision","CNN","Detection"]}},{"page_content":"# Feature Pyramid Network\n\n**Definition:** An architectural design that combines visual information across scales to improve multi-scale object understanding.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-pyramid-network","slug":"feature-pyramid-network","lang":"en","title":"Feature Pyramid Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:50.534Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.706Z","tags":["FPN","Multi-Scale Vision","CNN","Detection"]}},{"page_content":"# Feature Registry\n\n**Definition:** Feature tanımlarının, sürümlerinin, sahipliğinin ve kullanım durumlarının merkezi olarak tutulduğu kayıt katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-registry","slug":"feature-registry","lang":"tr","title":"Feature Registry","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:51.426Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.425Z","tags":["Feature Registry","Feature Governance","Versioning","MLOps"]}},{"page_content":"# Feature Registry\n\n**Definition:** A registry layer where feature definitions, versions, ownership, and usage states are centrally maintained.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-registry","slug":"feature-registry","lang":"en","title":"Feature Registry","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:51.426Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.425Z","tags":["Feature Registry","Feature Governance","Versioning","MLOps"]}},{"page_content":"# Feature Serving API\n\n**Definition:** Canlı tahmin sırasında gerekli feature'ları standart bir arayüz üzerinden sağlayan servis katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-serving-api","slug":"feature-serving-api","lang":"tr","title":"Feature Serving API","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:53.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.346Z","tags":["Serving API","Feature Store","Online Inference","Low Latency"]}},{"page_content":"# Feature Serving API\n\n**Definition:** A service layer that delivers the required features through a standardized interface during live prediction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-serving-api","slug":"feature-serving-api","lang":"en","title":"Feature Serving API","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:53.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.346Z","tags":["Serving API","Feature Store","Online Inference","Low Latency"]}},{"page_content":"# Feature Store\n\n**Definition:** Makine öğrenmesi özelliklerinin merkezi, tekrar kullanılabilir ve eğitim-servis tutarlılığıyla yönetildiği altyapı katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-store","slug":"feature-store","lang":"tr","title":"Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:58.143Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.064Z","tags":["Feature Store","ML Infrastructure","Feature Reuse","MLOps"]}},{"page_content":"# Feature Store\n\n**Definition:** An infrastructure layer where machine learning features are centrally managed with reuse and training-serving consistency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-store","slug":"feature-store","lang":"en","title":"Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:58.143Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.064Z","tags":["Feature Store","ML Infrastructure","Feature Reuse","MLOps"]}},{"page_content":"# Feature Versiyonlama\n\n**Definition:** Feature tanımlarının zaman içindeki değişimlerini izlenebilir sürümler halinde yönetme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feature-versioning","slug":"feature-versioning","lang":"tr","title":"Feature Versiyonlama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:58.881Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.257Z","tags":["Feature Versioning","Feature Store","MLOps","Reproducibility"]}},{"page_content":"# Feature Versioning\n\n**Definition:** An approach for managing changes in feature definitions as traceable versions over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feature-versioning","slug":"feature-versioning","lang":"en","title":"Feature Versioning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:58.881Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.257Z","tags":["Feature Versioning","Feature Store","MLOps","Reproducibility"]}},{"page_content":"# İleri Beslemeli Sinir Ağı\n\n**Definition:** Bilginin girişten çıkışa doğru tek yönlü aktığı klasik sinir ağı ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/feedforward-neural-network","slug":"feedforward-neural-network","lang":"tr","title":"İleri Beslemeli Sinir Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.560Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.655Z","tags":["Feedforward","Neural Networks","Supervised Learning","Architecture"]}},{"page_content":"# Feedforward Neural Network\n\n**Definition:** The classical family of neural networks in which information flows one-way from input to output.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/feedforward-neural-network","slug":"feedforward-neural-network","lang":"en","title":"Feedforward Neural Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.560Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.655Z","tags":["Feedforward","Neural Networks","Supervised Learning","Architecture"]}},{"page_content":"# Few-Shot Ses Sınıflandırma\n\n**Definition:** Çok az örnekle yeni ses olaylarını veya sınıflarını tanımayı amaçlayan düşük veri odaklı öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/few-shot-audio-classification","slug":"few-shot-audio-classification","lang":"tr","title":"Few-Shot Ses Sınıflandırma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:05.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.224Z","tags":["Few-Shot Audio","Low-Data Learning","Audio Classification","Generalization"]}},{"page_content":"# Few-Shot Audio Classification\n\n**Definition:** A low-data learning approach aimed at recognizing new audio events or classes from very few examples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/few-shot-audio-classification","slug":"few-shot-audio-classification","lang":"en","title":"Few-Shot Audio Classification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:05.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.224Z","tags":["Few-Shot Audio","Low-Data Learning","Audio Classification","Generalization"]}},{"page_content":"# Few-Shot Görüntü Sınıflandırma\n\n**Definition:** Her sınıf için çok az örnek varken yeni görsel kategorileri ayırt etmeyi amaçlayan öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/few-shot-image-classification","slug":"few-shot-image-classification","lang":"tr","title":"Few-Shot Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:59:11.787Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.915Z","tags":["Few-Shot Learning","Image Classification","Low-Data Vision","Generalization"]}},{"page_content":"# Few-Shot Image Classification\n\n**Definition:** A learning approach that aims to distinguish new visual categories when only a few examples per class are available.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/few-shot-image-classification","slug":"few-shot-image-classification","lang":"en","title":"Few-Shot Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:59:11.787Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.915Z","tags":["Few-Shot Learning","Image Classification","Low-Data Vision","Generalization"]}},{"page_content":"# Few-Shot Prompting\n\n**Definition:** Model davranışını örnek giriş-çıkış çiftleriyle yönlendirerek görev uyarlaması yapan prompting tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/few-shot-prompting","slug":"few-shot-prompting","lang":"tr","title":"Few-Shot Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:31.489Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.920Z","tags":["Few-Shot Prompting","LLM","Task Adaptation","Prompt Design"]}},{"page_content":"# Few-Shot Prompting\n\n**Definition:** A prompting technique that adapts model behavior by guiding it with example input-output pairs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/few-shot-prompting","slug":"few-shot-prompting","lang":"en","title":"Few-Shot Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:31.489Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.920Z","tags":["Few-Shot Prompting","LLM","Task Adaptation","Prompt Design"]}},{"page_content":"# Dosya Budama\n\n**Definition:** Sorgu sırasında gereksiz dosyaların taranmasını önleyerek veri gölü performansını artıran optimizasyon tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/file-pruning","slug":"file-pruning","lang":"tr","title":"Dosya Budama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:17.720Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.268Z","tags":["File Pruning","Performance","Data Lake","Optimization"]}},{"page_content":"# File Pruning\n\n**Definition:** An optimization technique that improves data lake performance by avoiding scans of unnecessary files during queries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/file-pruning","slug":"file-pruning","lang":"en","title":"File Pruning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:17.720Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.268Z","tags":["File Pruning","Performance","Data Lake","Optimization"]}},{"page_content":"# İnce Ayrıntılı Görüntü Sınıflandırma\n\n**Definition:** Birbirine çok benzeyen alt sınıfları ayırt etmeye odaklanan yüksek çözünürlüklü sınıflandırma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/fine-grained-image-classification","slug":"fine-grained-image-classification","lang":"tr","title":"İnce Ayrıntılı Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.862Z","tags":["Fine-Grained Classification","Visual Similarity","Expert Vision","Recognition"]}},{"page_content":"# Fine-Grained Image Classification\n\n**Definition:** A high-resolution classification problem focused on distinguishing highly similar subcategories.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/fine-grained-image-classification","slug":"fine-grained-image-classification","lang":"en","title":"Fine-Grained Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.862Z","tags":["Fine-Grained Classification","Visual Similarity","Expert Vision","Recognition"]}},{"page_content":"# Fisher Bilgisi\n\n**Definition:** Gözlenen verinin, model parametresi hakkında ne kadar hassas bilgi taşıdığını ölçen istatistiksel nicelik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/fisher-bilgisi","slug":"fisher-bilgisi","lang":"tr","title":"Fisher Bilgisi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:10.785Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.423Z","tags":["Fisher Information","Estimation","Uncertainty","Statistics"]}},{"page_content":"# Fisher Information\n\n**Definition:** A statistical quantity that measures how much precise information the observed data carries about a model parameter.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/fisher-bilgisi","slug":"fisher-bilgisi","lang":"en","title":"Fisher Information","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:10.785Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.423Z","tags":["Fisher Information","Estimation","Uncertainty","Statistics"]}},{"page_content":"# Focal Loss\n\n**Definition:** Kolay örneklerin etkisini azaltıp zor ve az görülen örneklere daha fazla odaklanan sınıflandırma kaybı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/focal-loss","slug":"focal-loss","lang":"tr","title":"Focal Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T21:26:27.620Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.413Z","tags":["Focal Loss","Imbalanced Data","Classification","Object Detection"]}},{"page_content":"# Focal Loss\n\n**Definition:** A classification loss that reduces the impact of easy examples and focuses more on hard or rare ones.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/focal-loss","slug":"focal-loss","lang":"en","title":"Focal Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T21:26:27.620Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.413Z","tags":["Focal Loss","Imbalanced Data","Classification","Object Detection"]}},{"page_content":"# Zorlanmış Hizalama\n\n**Definition:** Var olan metin ile ses sinyalini zaman ekseninde eşleştirerek sözcük veya fonem düzeyinde hizalayan süreç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/forced-alignment","slug":"forced-alignment","lang":"tr","title":"Zorlanmış Hizalama","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:05.360Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.275Z","tags":["Forced Alignment","Timing","Speech Processing","Phonemes"]}},{"page_content":"# Forced Alignment\n\n**Definition:** A process that aligns existing text with speech in time to produce word- or phoneme-level correspondence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/forced-alignment","slug":"forced-alignment","lang":"en","title":"Forced Alignment","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:05.360Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.275Z","tags":["Forced Alignment","Timing","Speech Processing","Phonemes"]}},{"page_content":"# Formant Analizi\n\n**Definition:** Konuşma sinyalindeki rezonans bölgelerini inceleyerek fonetik ve konuşmacı bilgisi çıkaran klasik analiz yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/formant-analysis","slug":"formant-analysis","lang":"tr","title":"Formant Analizi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:01:37.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.141Z","tags":["Formants","Phonetics","Speech Analysis","Signal Processing"]}},{"page_content":"# Formant Analysis\n\n**Definition:** A classical analysis approach that examines resonance regions in speech to extract phonetic and speaker-related information.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/formant-analysis","slug":"formant-analysis","lang":"en","title":"Formant Analysis","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:01:37.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.141Z","tags":["Formants","Phonetics","Speech Analysis","Signal Processing"]}},{"page_content":"# Bulanık Eşleştirme\n\n**Definition:** Tam eşleşme yerine benzerlik temelli kurallarla yakın kayıtları bulmayı amaçlayan eşleştirme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/fuzzy-matching","slug":"fuzzy-matching","lang":"tr","title":"Bulanık Eşleştirme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:04.371Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.055Z","tags":["Fuzzy Matching","String Similarity","Deduplication","Text Cleaning"]}},{"page_content":"# Fuzzy Matching\n\n**Definition:** A matching approach that uses similarity-based rules to find near-matching records instead of exact matches.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/fuzzy-matching","slug":"fuzzy-matching","lang":"en","title":"Fuzzy Matching","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:04.371Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.055Z","tags":["Fuzzy Matching","String Similarity","Deduplication","Text Cleaning"]}},{"page_content":"# Gamma Dağılımı\n\n**Definition:** Pozitif sürekli büyüklükleri ve birden fazla olayın bekleme süresini modellemede kullanılan esnek dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gamma-dagilimi","slug":"gamma-dagilimi","lang":"tr","title":"Gamma Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:29.004Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.699Z","tags":["Gamma Distribution","Positive Data","Bayesian","Waiting Time"]}},{"page_content":"# Gamma Distribution\n\n**Definition:** A flexible distribution used to model positive continuous quantities and waiting times for multiple events.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gamma-dagilimi","slug":"gamma-dagilimi","lang":"en","title":"Gamma Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:29.004Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.699Z","tags":["Gamma Distribution","Positive Data","Bayesian","Waiting Time"]}},{"page_content":"# GAN Tabanlı Sentetik Veri\n\n**Definition:** Üretici-karşıt ağlar kullanılarak gerçek dağılıma benzer yeni veri örnekleri üretilmesine dayanan sentetik veri yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gan-tabanli-sentetik-veri","slug":"gan-tabanli-sentetik-veri","lang":"tr","title":"GAN Tabanlı Sentetik Veri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:57.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.082Z","tags":["GAN","Synthetic Data","Generation","Privacy"]}},{"page_content":"# GAN-Based Synthetic Data\n\n**Definition:** A synthetic data approach based on generating new data samples similar to the real distribution using generative adversarial networks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gan-tabanli-sentetik-veri","slug":"gan-tabanli-sentetik-veri","lang":"en","title":"GAN-Based Synthetic Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:57.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.082Z","tags":["GAN","Synthetic Data","Generation","Privacy"]}},{"page_content":"# Gated Linear Unit\n\n**Definition:** Doğrusal sinyali kapı mekanizmasıyla filtreleyerek daha seçici bilgi akışı sağlayan aktivasyon benzeri yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gated-linear-unit","slug":"gated-linear-unit","lang":"tr","title":"Gated Linear Unit","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:44.166Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.633Z","tags":["GLU","Gating","Activation Design","Sequence Models"]}},{"page_content":"# Gated Linear Unit\n\n**Definition:** An activation-like structure that filters linear signals through a gating mechanism to enable more selective information flow.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gated-linear-unit","slug":"gated-linear-unit","lang":"en","title":"Gated Linear Unit","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:44.166Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.633Z","tags":["GLU","Gating","Activation Design","Sequence Models"]}},{"page_content":"# Gauss Karışım Modeli\n\n**Definition:** Verinin birden fazla Gauss dağılımının karışımından oluştuğunu varsayan olasılıksal model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gaussian-mixture-model","slug":"gaussian-mixture-model","lang":"tr","title":"Gauss Karışım Modeli","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:23.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.132Z","tags":["GMM","Probabilistic Models","Clustering","Density Estimation"]}},{"page_content":"# Gaussian Mixture Model\n\n**Definition:** A probabilistic model that assumes the data is generated from a mixture of multiple Gaussian distributions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gaussian-mixture-model","slug":"gaussian-mixture-model","lang":"en","title":"Gaussian Mixture Model","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:23.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.132Z","tags":["GMM","Probabilistic Models","Clustering","Density Estimation"]}},{"page_content":"# Bakış Tahmini\n\n**Definition:** Bir kişinin göz yönünden hangi bölgeye baktığını tahmin etmeye odaklanan hassas yüz analizi görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gaze-estimation","slug":"gaze-estimation","lang":"tr","title":"Bakış Tahmini","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:23.392Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.426Z","tags":["Gaze Estimation","Attention Analysis","HCI","Face Analysis"]}},{"page_content":"# Gaze Estimation\n\n**Definition:** A fine-grained face analysis task focused on estimating where a person is looking from eye direction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gaze-estimation","slug":"gaze-estimation","lang":"en","title":"Gaze Estimation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:23.392Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.426Z","tags":["Gaze Estimation","Attention Analysis","HCI","Face Analysis"]}},{"page_content":"# Geçerlilik\n\n**Definition:** Bir veri değerinin tanımlı format, aralık, sözlük veya iş kuralına uygun olup olmadığını ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gecerlilik","slug":"gecerlilik","lang":"tr","title":"Geçerlilik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:56.663Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.768Z","tags":["Validity","Rules","Schema","Data Quality"]}},{"page_content":"# Validity\n\n**Definition:** A quality dimension indicating whether a data value conforms to defined formats, ranges, vocabularies, or business rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gecerlilik","slug":"gecerlilik","lang":"en","title":"Validity","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:56.663Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.768Z","tags":["Validity","Rules","Schema","Data Quality"]}},{"page_content":"# GELU Aktivasyon\n\n**Definition:** Girdileri sert eşik yerine olasılıksal yumuşaklıkla dönüştüren modern aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gelu-activation","slug":"gelu-activation","lang":"tr","title":"GELU Aktivasyon","category":"derin-ogrenme","updatedAt":"2026-06-27T23:43:06.640Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.126Z","tags":["GELU","Activation Function","Transformers","Large Language Models"]}},{"page_content":"# GELU Activation\n\n**Definition:** A modern activation function that transforms inputs with probabilistic smoothness rather than a hard threshold.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gelu-activation","slug":"gelu-activation","lang":"en","title":"GELU Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:43:06.640Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.126Z","tags":["GELU","Activation Function","Transformers","Large Language Models"]}},{"page_content":"# Genel Yapay Zekâ (AGI)\n\n**Definition:** Farklı görevler ve bağlamlar arasında bilgi transferi yapabilen, insan benzeri esnekliğe sahip varsayımsal yapay zekâ düzeyi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/genel-yapay-zeka","slug":"genel-yapay-zeka","lang":"tr","title":"Genel Yapay Zekâ (AGI)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:24.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.999Z","tags":["AGI","Genel Zekâ","Kuramsal","Gelecek"]}},{"page_content":"# Artificial General Intelligence (AGI)\n\n**Definition:** A hypothetical level of AI with human-like flexibility, capable of transferring knowledge across different tasks and contexts.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/genel-yapay-zeka","slug":"genel-yapay-zeka","lang":"en","title":"Artificial General Intelligence (AGI)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:24.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.999Z","tags":["AGI","Genel Zekâ","Kuramsal","Gelecek"]}},{"page_content":"# Genelleme\n\n**Definition:** Bir modelin eğitim sırasında görmediği örneklerde de doğru, kararlı ve güvenilir sonuçlar üretebilme yeteneği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/genelleme","slug":"genelleme","lang":"tr","title":"Genelleme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:42:32.022Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.633Z","tags":["Genelleme","Performans","Model Kalitesi","Güvenilirlik"]}},{"page_content":"# Generalization\n\n**Definition:** The ability of a model to produce accurate, stable, and reliable results on examples it did not see during training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/genelleme","slug":"genelleme","lang":"en","title":"Generalization","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:42:32.022Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.633Z","tags":["Genelleme","Performans","Model Kalitesi","Güvenilirlik"]}},{"page_content":"# Üretken Model\n\n**Definition:** Verinin yalnızca sınıfını tahmin etmek yerine yeni örnekler üretebilen model ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/generative-model","slug":"generative-model","lang":"tr","title":"Üretken Model","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:42.249Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.305Z","tags":["Generative AI","Modeling","Content Generation"]}},{"page_content":"# Generative Model\n\n**Definition:** A family of models that can generate new samples rather than only predicting labels.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/generative-model","slug":"generative-model","lang":"en","title":"Generative Model","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:42.249Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.305Z","tags":["Generative AI","Modeling","Content Generation"]}},{"page_content":"# Generative Soru Cevaplama\n\n**Definition:** Cevabı serbest metin biçiminde üreterek daha doğal ancak daha riskli yanıtlar sağlayan QA yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/generative-question-answering","slug":"generative-question-answering","lang":"tr","title":"Generative Soru Cevaplama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:02.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.021Z","tags":["Generative QA","Question Answering","LLM","Grounded Generation"]}},{"page_content":"# Generative Question Answering\n\n**Definition:** A QA approach that generates answers as free text, offering more natural but potentially riskier responses.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/generative-question-answering","slug":"generative-question-answering","lang":"en","title":"Generative Question Answering","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:02.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.021Z","tags":["Generative QA","Question Answering","LLM","Grounded Generation"]}},{"page_content":"# Geometrik Dönüşüm\n\n**Definition:** Görüntü koordinatlarını yeniden düzenleyerek ölçek, döndürme, kaydırma ve perspektif değişimi uygulayan işlem ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/geometric-transformation","slug":"geometric-transformation","lang":"tr","title":"Geometrik Dönüşüm","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.894Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.223Z","tags":["Geometric Transformation","Alignment","Augmentation","Image Geometry"]}},{"page_content":"# Geometric Transformation\n\n**Definition:** A family of operations that rearranges image coordinates to apply scaling, rotation, translation, and perspective changes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/geometric-transformation","slug":"geometric-transformation","lang":"en","title":"Geometric Transformation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.894Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.223Z","tags":["Geometric Transformation","Alignment","Augmentation","Image Geometry"]}},{"page_content":"# Gizlilik Korumalı Sentetik Veri\n\n**Definition:** Gerçek bireyleri ifşa etmeden analitik değer üretmeyi hedefleyen sentetik veri üretim yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gizlilik-korumali-sentetik-veri","slug":"gizlilik-korumali-sentetik-veri","lang":"tr","title":"Gizlilik Korumalı Sentetik Veri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:25.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.457Z","tags":["Privacy-Preserving Synthetic Data","Privacy","Synthetic Data","Security"]}},{"page_content":"# Privacy-Preserving Synthetic Data\n\n**Definition:** A synthetic data generation approach designed to create analytical value without exposing real individuals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gizlilik-korumali-sentetik-veri","slug":"gizlilik-korumali-sentetik-veri","lang":"en","title":"Privacy-Preserving Synthetic Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:25.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.457Z","tags":["Privacy-Preserving Synthetic Data","Privacy","Synthetic Data","Security"]}},{"page_content":"# Sözlük Uyumu\n\n**Definition:** İş terimleri sözlüğü ile teknik veri varlıklarının anlam bakımından tutarlı hale getirilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/glossary-alignment","slug":"glossary-alignment","lang":"tr","title":"Sözlük Uyumu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:41.471Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.066Z","tags":["Glossary Alignment","Business Metadata","Semantics","Trust"]}},{"page_content":"# Glossary Alignment\n\n**Definition:** The process of aligning business glossary terms with technical data assets in a semantically consistent way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/glossary-alignment","slug":"glossary-alignment","lang":"en","title":"Glossary Alignment","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:41.471Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.066Z","tags":["Glossary Alignment","Business Metadata","Semantics","Trust"]}},{"page_content":"# GloVe\n\n**Definition:** Küresel kelime eşgörünüm istatistiklerini kullanarak yoğun kelime vektörleri üreten embedding yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/glove","slug":"glove","lang":"tr","title":"GloVe","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:47.234Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.318Z","tags":["GloVe","Embeddings","Co-occurrence","Semantics"]}},{"page_content":"# GloVe\n\n**Definition:** An embedding method that produces dense word vectors using global word co-occurrence statistics.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/glove","slug":"glove","lang":"en","title":"GloVe","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:47.234Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.318Z","tags":["GloVe","Embeddings","Co-occurrence","Semantics"]}},{"page_content":"# Gradient Boosting\n\n**Definition:** Önceki modellerin hatalarını ardışık biçimde azaltarak güçlü tahminler üreten boosting tabanlı ensemble yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradient-boosting","slug":"gradient-boosting","lang":"tr","title":"Gradient Boosting","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:39.060Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.057Z","tags":["Gradient Boosting","Ensemble","Boosting","Tabular Data"]}},{"page_content":"# Gradient Boosting\n\n**Definition:** A boosting-based ensemble method that builds strong predictions by sequentially reducing the errors of previous models.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradient-boosting","slug":"gradient-boosting","lang":"en","title":"Gradient Boosting","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:39.060Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.057Z","tags":["Gradient Boosting","Ensemble","Boosting","Tabular Data"]}},{"page_content":"# Gradyan Kontrolü\n\n**Definition:** Analitik gradyanların sayısal yaklaşıklarla karşılaştırılarak doğrulanmasını sağlayan hata ayıklama tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradient-checking","slug":"gradient-checking","lang":"tr","title":"Gradyan Kontrolü","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:30.253Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.389Z","tags":["Gradient Checking","Debugging","Backpropagation","Numerical Differentiation"]}},{"page_content":"# Gradient Checking\n\n**Definition:** A debugging technique that validates analytical gradients by comparing them with numerical approximations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradient-checking","slug":"gradient-checking","lang":"en","title":"Gradient Checking","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:30.253Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.389Z","tags":["Gradient Checking","Debugging","Backpropagation","Numerical Differentiation"]}},{"page_content":"# Gradyan Akışı\n\n**Definition:** Öğrenme sinyalinin ağ katmanları boyunca ne kadar sağlıklı taşındığını ifade eden temel eğitim dinamiği kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradient-flow","slug":"gradient-flow","lang":"tr","title":"Gradyan Akışı","category":"derin-ogrenme","updatedAt":"2026-06-27T22:52:36.157Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.478Z","tags":["Gradient Flow","Training Stability","Optimization","Deep Networks"]}},{"page_content":"# Gradient Flow\n\n**Definition:** A core training-dynamics concept describing how effectively the learning signal moves across network layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradient-flow","slug":"gradient-flow","lang":"en","title":"Gradient Flow","category":"derin-ogrenme","updatedAt":"2026-06-27T22:52:36.157Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.478Z","tags":["Gradient Flow","Training Stability","Optimization","Deep Networks"]}},{"page_content":"# Gradyan Gürültü Ölçeği\n\n**Definition:** Stokastik optimizasyonda gradyan tahminlerinin ne kadar gürültülü olduğunu karakterize eden eğitim dinamiği ölçütü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradient-noise-scale","slug":"gradient-noise-scale","lang":"tr","title":"Gradyan Gürültü Ölçeği","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:01.904Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.721Z","tags":["Gradient Noise","Optimization","Batch Size","Training Dynamics"]}},{"page_content":"# Gradient Noise Scale\n\n**Definition:** A training-dynamics measure that characterizes how noisy gradient estimates are in stochastic optimization.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradient-noise-scale","slug":"gradient-noise-scale","lang":"en","title":"Gradient Noise Scale","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:01.904Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.721Z","tags":["Gradient Noise","Optimization","Batch Size","Training Dynamics"]}},{"page_content":"# Gradyan\n\n**Definition:** Çok değişkenli bir fonksiyonun her değişkene göre türevlerini birlikte taşıyan yön ve büyüklük vektörü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradyan","slug":"gradyan","lang":"tr","title":"Gradyan","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:55.080Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.597Z","tags":["Gradient","Optimization","Training","Loss Surface"]}},{"page_content":"# Gradient\n\n**Definition:** A vector containing the partial derivatives of a multivariable function, indicating direction and magnitude of change.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradyan","slug":"gradyan","lang":"en","title":"Gradient","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:55.080Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.597Z","tags":["Gradient","Optimization","Training","Loss Surface"]}},{"page_content":"# Gradyan İnişi\n\n**Definition:** Kayıp fonksiyonunu minimize etmek için parametreleri gradyan yönünün tersine güncelleyen temel optimizasyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradyan-inisi","slug":"gradyan-inisi","lang":"tr","title":"Gradyan İnişi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:50.036Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.957Z","tags":["Gradient Descent","Optimization","Training","Loss"]}},{"page_content":"# Gradient Descent\n\n**Definition:** A fundamental optimization method that updates parameters in the opposite direction of the gradient to minimize a loss function.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradyan-inisi","slug":"gradyan-inisi","lang":"en","title":"Gradient Descent","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:50.036Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.957Z","tags":["Gradient Descent","Optimization","Training","Loss"]}},{"page_content":"# Gradyan Kırpma\n\n**Definition:** Aşırı büyük gradyanların eğitim sürecini bozmasını engellemek için gradyan büyüklüğünü sınırlayan teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gradyan-kirpma","slug":"gradyan-kirpma","lang":"tr","title":"Gradyan Kırpma","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:39.081Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.234Z","tags":["Gradient Clipping","Training Stability","Deep Learning","Optimization"]}},{"page_content":"# Gradient Clipping\n\n**Definition:** A technique that limits gradient magnitude to prevent excessively large gradients from destabilizing training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gradyan-kirpma","slug":"gradyan-kirpma","lang":"en","title":"Gradient Clipping","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:39.081Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.234Z","tags":["Gradient Clipping","Training Stability","Deep Learning","Optimization"]}},{"page_content":"# Grafik Attention Ağı\n\n**Definition:** Komşu düğümlerin katkılarını eşit değil öğrenilmiş dikkat ağırlıklarıyla birleştiren GNN mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graph-attention-network","slug":"graph-attention-network","lang":"tr","title":"Grafik Attention Ağı","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:55.886Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.923Z","tags":["GAT","Graph Attention","GNN","Attention"]}},{"page_content":"# Graph Attention Network\n\n**Definition:** A GNN architecture that combines neighboring nodes with learned attention weights rather than treating them equally.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graph-attention-network","slug":"graph-attention-network","lang":"en","title":"Graph Attention Network","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:55.886Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.923Z","tags":["GAT","Graph Attention","GNN","Attention"]}},{"page_content":"# Grafik Sınıflandırma\n\n**Definition:** Tüm grafiğe tek bir etiket atamaya odaklanan grafik öğrenme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graph-classification","slug":"graph-classification","lang":"tr","title":"Grafik Sınıflandırma","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:24.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.339Z","tags":["Graph Classification","GNN","Pooling","Structured Data"]}},{"page_content":"# Graph Classification\n\n**Definition:** A graph learning task focused on assigning a single label to the entire graph.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graph-classification","slug":"graph-classification","lang":"en","title":"Graph Classification","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:24.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.339Z","tags":["Graph Classification","GNN","Pooling","Structured Data"]}},{"page_content":"# Grafik Evrişim Ağı\n\n**Definition:** Düğüm komşuluk bilgisini kullanarak grafik yapılar üzerinde temsil öğrenen temel GNN mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graph-convolutional-network","slug":"graph-convolutional-network","lang":"tr","title":"Grafik Evrişim Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T22:52:35.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.723Z","tags":["GCN","Graph Neural Networks","Representation Learning","Relational Data"]}},{"page_content":"# Graph Convolutional Network\n\n**Definition:** A foundational GNN architecture that learns representations over graphs by using neighborhood information.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graph-convolutional-network","slug":"graph-convolutional-network","lang":"en","title":"Graph Convolutional Network","category":"derin-ogrenme","updatedAt":"2026-06-27T22:52:35.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.723Z","tags":["GCN","Graph Neural Networks","Representation Learning","Relational Data"]}},{"page_content":"# Graph Isomorphism Network\n\n**Definition:** Grafik yapılarını ayırt etme gücünü teorik olarak güçlendirmeyi amaçlayan GNN mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graph-isomorphism-network","slug":"graph-isomorphism-network","lang":"tr","title":"Graph Isomorphism Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:23.011Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.426Z","tags":["GIN","Graph Isomorphism","GNN Theory","Graph Representation"]}},{"page_content":"# Graph Isomorphism Network\n\n**Definition:** A GNN architecture designed to strengthen the theoretical power of distinguishing graph structures.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graph-isomorphism-network","slug":"graph-isomorphism-network","lang":"en","title":"Graph Isomorphism Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:23.011Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.426Z","tags":["GIN","Graph Isomorphism","GNN Theory","Graph Representation"]}},{"page_content":"# Grafik Pooling\n\n**Definition:** Grafikteki düğüm bilgisini daha özet ve görev odaklı temsillere indirgemeyi amaçlayan GNN işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graph-pooling","slug":"graph-pooling","lang":"tr","title":"Grafik Pooling","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:37.506Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.733Z","tags":["Graph Pooling","GNN","Graph Representation","Aggregation"]}},{"page_content":"# Graph Pooling\n\n**Definition:** A GNN operation that aims to compress node information into more compact and task-relevant representations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graph-pooling","slug":"graph-pooling","lang":"en","title":"Graph Pooling","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:37.506Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.733Z","tags":["Graph Pooling","GNN","Graph Representation","Aggregation"]}},{"page_content":"# GraphSAGE\n\n**Definition:** Komşu örneklemeyi kullanarak büyük ölçekli grafiklerde temsil öğrenmeyi ölçeklenebilir hale getiren GNN yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/graphsage","slug":"graphsage","lang":"tr","title":"GraphSAGE","category":"derin-ogrenme","updatedAt":"2026-06-27T22:55:00.016Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.827Z","tags":["GraphSAGE","Scalable GNN","Sampling","Graph Learning"]}},{"page_content":"# GraphSAGE\n\n**Definition:** A GNN method that makes representation learning scalable on large graphs through neighborhood sampling.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/graphsage","slug":"graphsage","lang":"en","title":"GraphSAGE","category":"derin-ogrenme","updatedAt":"2026-06-27T22:55:00.016Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.827Z","tags":["GraphSAGE","Scalable GNN","Sampling","Graph Learning"]}},{"page_content":"# Grid Search\n\n**Definition:** Belirlenen hiperparametre kombinasyonlarını sistematik olarak deneyerek en iyi modeli arayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/grid-search","slug":"grid-search","lang":"tr","title":"Grid Search","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:58:57.939Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.315Z","tags":["Grid Search","Hyperparameter Tuning","Model Selection","Optimization"]}},{"page_content":"# Grid Search\n\n**Definition:** A method that searches for the best model by systematically trying predefined hyperparameter combinations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/grid-search","slug":"grid-search","lang":"en","title":"Grid Search","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:58:57.939Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.315Z","tags":["Grid Search","Hyperparameter Tuning","Model Selection","Optimization"]}},{"page_content":"# Ground Truth\n\n**Definition:** Bir veri örneği için doğru kabul edilen referans etiket veya doğrulama bilgisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ground-truth","slug":"ground-truth","lang":"tr","title":"Ground Truth","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:56:30.839Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.873Z","tags":["Ground Truth","Labels","Evaluation","Reference Data"]}},{"page_content":"# Ground Truth\n\n**Definition:** The trusted reference label or verification information considered correct for a data instance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ground-truth","slug":"ground-truth","lang":"en","title":"Ground Truth","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:56:30.839Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.873Z","tags":["Ground Truth","Labels","Evaluation","Reference Data"]}},{"page_content":"# GRU\n\n**Definition:** LSTM'ye göre daha sade kapı yapısıyla sekans bağımlılıklarını öğrenen tekrarlayan ağ birimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/gru","slug":"gru","lang":"tr","title":"GRU","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:34.669Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.410Z","tags":["GRU","Sequence Modeling","Recurrent Networks","Efficiency"]}},{"page_content":"# GRU\n\n**Definition:** A recurrent unit that learns sequence dependencies through a simpler gating structure than LSTM.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/gru","slug":"gru","lang":"en","title":"GRU","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:34.669Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.410Z","tags":["GRU","Sequence Modeling","Recurrent Networks","Efficiency"]}},{"page_content":"# Güncellik\n\n**Definition:** Verinin ihtiyaç duyulan anda yeterince güncel, zamanında ve kullanılabilir durumda olması özelliği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/guncellik","slug":"guncellik","lang":"tr","title":"Güncellik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:48.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.547Z","tags":["Timeliness","Data Freshness","Operational Analytics","Quality"]}},{"page_content":"# Timeliness\n\n**Definition:** The property of data being sufficiently current, timely, and available when needed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/guncellik","slug":"guncellik","lang":"en","title":"Timeliness","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:48.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.547Z","tags":["Timeliness","Data Freshness","Operational Analytics","Quality"]}},{"page_content":"# Hallucination\n\n**Definition:** Modelin akıcı ama gerçekte desteklenmeyen veya yanlış içerik üretmesi durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hallucination","slug":"hallucination","lang":"tr","title":"Hallucination","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:31:07.831Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.029Z","tags":["Hallucination","Reliability","Factuality","LLM"]}},{"page_content":"# Hallucination\n\n**Definition:** The phenomenon in which a model generates fluent but unsupported or incorrect content.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hallucination","slug":"hallucination","lang":"en","title":"Hallucination","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:31:07.831Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.029Z","tags":["Hallucination","Reliability","Factuality","LLM"]}},{"page_content":"# El Yazısı Tanıma\n\n**Definition:** Basılı yazıya göre daha yüksek değişkenlik içeren el yazısı içerikleri metne dönüştürmeye odaklanan OCR alt görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/handwriting-recognition","slug":"handwriting-recognition","lang":"tr","title":"El Yazısı Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:21.941Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.604Z","tags":["Handwriting Recognition","OCR","Document AI","Sequence Modeling"]}},{"page_content":"# Handwriting Recognition\n\n**Definition:** An OCR subtask focused on converting handwritten content, which is far more variable than printed text, into machine-readable text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/handwriting-recognition","slug":"handwriting-recognition","lang":"en","title":"Handwriting Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:21.941Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.604Z","tags":["Handwriting Recognition","OCR","Document AI","Sequence Modeling"]}},{"page_content":"# Zor Negatif Madenciliği\n\n**Definition:** Modele kolay değil, semantik olarak yanıltıcı negatif örnekler sunarak retrieval ve eşleme kalitesini artıran eğitim stratejisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hard-negative-mining","slug":"hard-negative-mining","lang":"tr","title":"Zor Negatif Madenciliği","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:41.213Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.451Z","tags":["Hard Negatives","Contrastive Learning","Retrieval","Training Data"]}},{"page_content":"# Hard Negative Mining\n\n**Definition:** A training strategy that improves retrieval and matching quality by providing semantically confusing hard negatives rather than easy negatives.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hard-negative-mining","slug":"hard-negative-mining","lang":"en","title":"Hard Negative Mining","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:41.213Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.451Z","tags":["Hard Negatives","Contrastive Learning","Retrieval","Training Data"]}},{"page_content":"# Hard-Swish Aktivasyonu\n\n**Definition:** Swish benzeri davranışı daha düşük hesaplama maliyetiyle sunmayı amaçlayan verimli aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hard-swish-activation","slug":"hard-swish-activation","lang":"tr","title":"Hard-Swish Aktivasyonu","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:05.065Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.529Z","tags":["Hard-Swish","Efficient Networks","Activation Function","Mobile Models"]}},{"page_content":"# Hard-Swish Activation\n\n**Definition:** An efficient activation function designed to approximate Swish-like behavior at lower computational cost.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hard-swish-activation","slug":"hard-swish-activation","lang":"en","title":"Hard-Swish Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:05.065Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.529Z","tags":["Hard-Swish","Efficient Networks","Activation Function","Mobile Models"]}},{"page_content":"# HDBSCAN\n\n**Definition:** Farklı yoğunluk seviyelerine sahip kümeleri hiyerarşik yoğunluk yaklaşımıyla tespit eden gelişmiş kümeleme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hdbscan","slug":"hdbscan","lang":"tr","title":"HDBSCAN","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:43.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.936Z","tags":["HDBSCAN","Density-Based Clustering","Noise","Unsupervised Learning"]}},{"page_content":"# HDBSCAN\n\n**Definition:** An advanced clustering method that detects clusters with varying density levels through a hierarchical density-based approach.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hdbscan","slug":"hdbscan","lang":"en","title":"HDBSCAN","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:43.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.936Z","tags":["HDBSCAN","Density-Based Clustering","Noise","Unsupervised Learning"]}},{"page_content":"# Baş Pozu Tahmini\n\n**Definition:** Yüzün veya başın uzaydaki yönelimini açı değerleriyle tahmin eden geometrik analiz görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/head-pose-estimation","slug":"head-pose-estimation","lang":"tr","title":"Baş Pozu Tahmini","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:28.207Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.334Z","tags":["Head Pose","Face Analysis","Attention Tracking","Geometry"]}},{"page_content":"# Head Pose Estimation\n\n**Definition:** A geometric analysis task that estimates the orientation of the face or head in space through angle values.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/head-pose-estimation","slug":"head-pose-estimation","lang":"en","title":"Head Pose Estimation","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:28.207Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.334Z","tags":["Head Pose","Face Analysis","Attention Tracking","Geometry"]}},{"page_content":"# Hessian Matrisi\n\n**Definition:** Bir fonksiyonun ikinci dereceden türevlerini içeren ve eğriliğini anlamaya yardımcı olan matris.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hessian-matrisi","slug":"hessian-matrisi","lang":"tr","title":"Hessian Matrisi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:03.305Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.787Z","tags":["Hessian","Second Derivative","Curvature","Optimization"]}},{"page_content":"# Hessian Matrix\n\n**Definition:** A matrix of second-order derivatives that helps describe the curvature of a function.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hessian-matrisi","slug":"hessian-matrisi","lang":"en","title":"Hessian Matrix","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:03.305Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.787Z","tags":["Hessian","Second Derivative","Curvature","Optimization"]}},{"page_content":"# Hessian-Vektör Çarpımı\n\n**Definition:** İkinci mertebe bilgiye tam Hessian matrisi oluşturmadan erişmeyi sağlayan hesaplama tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hessian-vector-product","slug":"hessian-vector-product","lang":"tr","title":"Hessian-Vektör Çarpımı","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:00.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.901Z","tags":["Hessian-Vector Product","Second-Order Methods","Optimization","Curvature"]}},{"page_content":"# Hessian-Vector Product\n\n**Definition:** A computational technique that accesses second-order information without explicitly forming the full Hessian matrix.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hessian-vector-product","slug":"hessian-vector-product","lang":"en","title":"Hessian-Vector Product","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:00.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.901Z","tags":["Hessian-Vector Product","Second-Order Methods","Optimization","Curvature"]}},{"page_content":"# Heterojen Grafik Sinir Ağı\n\n**Definition:** Farklı düğüm ve ilişki türlerini aynı grafik içinde modelleyebilen gelişmiş GNN yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/heterogeneous-graph-neural-network","slug":"heterogeneous-graph-neural-network","lang":"tr","title":"Heterojen Grafik Sinir Ağı","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:07.777Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.823Z","tags":["Heterogeneous GNN","Knowledge Graphs","Relational Data","Graph Learning"]}},{"page_content":"# Heterogeneous Graph Neural Network\n\n**Definition:** An advanced GNN architecture capable of modeling different node and relation types within the same graph.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/heterogeneous-graph-neural-network","slug":"heterogeneous-graph-neural-network","lang":"en","title":"Heterogeneous Graph Neural Network","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:07.777Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.823Z","tags":["Heterogeneous GNN","Knowledge Graphs","Relational Data","Graph Learning"]}},{"page_content":"# Gizli Katman Genişliği\n\n**Definition:** Bir katmandaki nöron sayısını ifade eden ve model kapasitesini doğrudan etkileyen temel mimari kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hidden-layer-width","slug":"hidden-layer-width","lang":"tr","title":"Gizli Katman Genişliği","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:50.673Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.491Z","tags":["Width","Architecture","Capacity","Neural Networks"]}},{"page_content":"# Hidden Layer Width\n\n**Definition:** An architectural concept referring to the number of neurons in a layer and directly affecting model capacity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hidden-layer-width","slug":"hidden-layer-width","lang":"en","title":"Hidden Layer Width","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:50.673Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.491Z","tags":["Width","Architecture","Capacity","Neural Networks"]}},{"page_content":"# Gizli Markov Modeli\n\n**Definition:** Gözlenebilir çıktılar arkasındaki gizli durum geçişlerini modelleyen sıralı olasılıksal yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hidden-markov-model","slug":"hidden-markov-model","lang":"tr","title":"Gizli Markov Modeli","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:30.873Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.222Z","tags":["HMM","Probabilistic Models","Sequences","Latent States"]}},{"page_content":"# Hidden Markov Model\n\n**Definition:** A sequential probabilistic structure that models hidden state transitions behind observable outputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hidden-markov-model","slug":"hidden-markov-model","lang":"en","title":"Hidden Markov Model","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:30.873Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.222Z","tags":["HMM","Probabilistic Models","Sequences","Latent States"]}},{"page_content":"# Gizli Durum\n\n**Definition:** Sekans modellerinde geçmiş bilgiyi taşıyan ve zaman boyunca güncellenen iç temsil vektörü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hidden-state","slug":"hidden-state","lang":"tr","title":"Gizli Durum","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:05.141Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.298Z","tags":["Hidden State","RNN","Sequence Modeling","Temporal Context"]}},{"page_content":"# Hidden State\n\n**Definition:** An internal representation vector in sequence models that carries past information and is updated over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hidden-state","slug":"hidden-state","lang":"en","title":"Hidden State","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:05.141Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.298Z","tags":["Hidden State","RNN","Sequence Modeling","Temporal Context"]}},{"page_content":"# Hiyerarşik Kümeleme\n\n**Definition:** Veri noktaları arasındaki benzerliği ağaç benzeri bir yapı üzerinden gösteren kümeleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hierarchical-clustering","slug":"hierarchical-clustering","lang":"tr","title":"Hiyerarşik Kümeleme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:43:10.683Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.504Z","tags":["Hierarchical Clustering","Dendrogram","Unsupervised Learning","Similarity"]}},{"page_content":"# Hierarchical Clustering\n\n**Definition:** A clustering approach that represents similarity among data points through a tree-like hierarchical structure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hierarchical-clustering","slug":"hierarchical-clustering","lang":"en","title":"Hierarchical Clustering","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:43:10.683Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.504Z","tags":["Hierarchical Clustering","Dendrogram","Unsupervised Learning","Similarity"]}},{"page_content":"# Hiyerarşik Görüntü Sınıflandırma\n\n**Definition:** Sınıf etiketlerinin üst-alt taksonomi yapısında düzenlendiği çok seviyeli görsel sınıflandırma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hierarchical-image-classification","slug":"hierarchical-image-classification","lang":"tr","title":"Hiyerarşik Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.848Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.168Z","tags":["Hierarchical Classification","Taxonomy","Vision","Structured Labels"]}},{"page_content":"# Hierarchical Image Classification\n\n**Definition:** A multi-level visual classification problem in which class labels are organized in a parent-child taxonomy.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hierarchical-image-classification","slug":"hierarchical-image-classification","lang":"en","title":"Hierarchical Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.848Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.168Z","tags":["Hierarchical Classification","Taxonomy","Vision","Structured Labels"]}},{"page_content":"# Hiyerarşik Metin Sınıflandırma\n\n**Definition:** Etiketlerin düz değil, üst-alt ilişki yapısında olduğu sınıflandırma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hierarchical-text-classification","slug":"hierarchical-text-classification","lang":"tr","title":"Hiyerarşik Metin Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:24.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.197Z","tags":["Hierarchical Classification","Taxonomy","Documents","NLP"]}},{"page_content":"# Hierarchical Text Classification\n\n**Definition:** A classification problem in which labels are organized in a parent-child hierarchy rather than a flat list.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hierarchical-text-classification","slug":"hierarchical-text-classification","lang":"en","title":"Hierarchical Text Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:44:24.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.197Z","tags":["Hierarchical Classification","Taxonomy","Documents","NLP"]}},{"page_content":"# Hinge Loss\n\n**Definition:** Özellikle destek vektör makinelerinde kullanılan, sınıflar arasında güvenli bir marj oluşturmayı hedefleyen kayıp fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hinge-loss","slug":"hinge-loss","lang":"tr","title":"Hinge Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:31.077Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.146Z","tags":["Hinge Loss","SVM","Classification","Margin"]}},{"page_content":"# Hinge Loss\n\n**Definition:** A loss function used especially in support vector machines that aims to create a safe margin between classes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hinge-loss","slug":"hinge-loss","lang":"en","title":"Hinge Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:31.077Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.146Z","tags":["Hinge Loss","SVM","Classification","Margin"]}},{"page_content":"# Histogram Eşitleme\n\n**Definition:** Görüntü kontrastını artırmak için yoğunluk dağılımını yeniden düzenleyen klasik iyileştirme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/histogram-equalization","slug":"histogram-equalization","lang":"tr","title":"Histogram Eşitleme","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:23.782Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.616Z","tags":["Histogram Equalization","Contrast Enhancement","Preprocessing","Classical CV"]}},{"page_content":"# Histogram Equalization\n\n**Definition:** A classical enhancement technique that redistributes intensity values to improve image contrast.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/histogram-equalization","slug":"histogram-equalization","lang":"en","title":"Histogram Equalization","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:23.782Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.616Z","tags":["Histogram Equalization","Contrast Enhancement","Preprocessing","Classical CV"]}},{"page_content":"# HNSW Index\n\n**Definition:** Yüksek boyutlu vektörlerde hızlı yaklaşık komşu arama için hiyerarşik grafik yapısı kullanan indeksleme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hnsw-index","slug":"hnsw-index","lang":"tr","title":"HNSW Index","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:45:46.572Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.681Z","tags":["HNSW","Index","Vector Search","ANN"]}},{"page_content":"# HNSW Index\n\n**Definition:** An indexing method that uses a hierarchical graph structure for fast approximate neighbor search in high-dimensional vectors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hnsw-index","slug":"hnsw-index","lang":"en","title":"HNSW Index","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:45:46.572Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.681Z","tags":["HNSW","Index","Vector Search","ANN"]}},{"page_content":"# HOG Özellikleri\n\n**Definition:** Yerel gradyan yönelim dağılımlarını kullanarak şekil ve kenar yapısını temsil eden klasik özellik çıkarımı yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hog-features","slug":"hog-features","lang":"tr","title":"HOG Özellikleri","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:15:43.037Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.943Z","tags":["HOG","Feature Extraction","Gradient Features","Classical Vision"]}},{"page_content":"# HOG Features\n\n**Definition:** A classical feature extraction approach that represents shape and edge structure through local gradient orientation distributions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hog-features","slug":"hog-features","lang":"en","title":"HOG Features","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:15:43.037Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.943Z","tags":["HOG","Feature Extraction","Gradient Features","Classical Vision"]}},{"page_content":"# Huber Kaybı\n\n**Definition:** MSE ile MAE arasında dengeli davranan ve uç değerlere karşı daha sağlam olan hibrit kayıp fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/huber-kaybi","slug":"huber-kaybi","lang":"tr","title":"Huber Kaybı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:44.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.235Z","tags":["Huber Loss","Regression","Robustness","Optimization"]}},{"page_content":"# Huber Loss\n\n**Definition:** A hybrid loss function that balances MSE and MAE behavior and is more robust to outliers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/huber-kaybi","slug":"huber-kaybi","lang":"en","title":"Huber Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:44.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.235Z","tags":["Huber Loss","Regression","Robustness","Optimization"]}},{"page_content":"# Huber Regresyonu\n\n**Definition:** Aykırı değerlere karşı klasik en küçük kareler yaklaşımından daha dayanıklı olan sağlam regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/huber-regression","slug":"huber-regression","lang":"tr","title":"Huber Regresyonu","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:29.342Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.393Z","tags":["Huber Regression","Robust Regression","Outliers","Regression"]}},{"page_content":"# Huber Regression\n\n**Definition:** A robust regression method that is more resistant to outliers than ordinary least squares.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/huber-regression","slug":"huber-regression","lang":"en","title":"Huber Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:29.342Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.393Z","tags":["Huber Regression","Robust Regression","Outliers","Regression"]}},{"page_content":"# Takipte Hungarian Atama\n\n**Definition:** Tespitler ile mevcut izleri en uygun maliyetle eşleştirerek kimlik sürekliliği sağlayan optimizasyon adımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hungarian-assignment-for-tracking","slug":"hungarian-assignment-for-tracking","lang":"tr","title":"Takipte Hungarian Atama","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:25.874Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.410Z","tags":["Hungarian Algorithm","Tracking","Data Association","Optimization"]}},{"page_content":"# Hungarian Assignment for Tracking\n\n**Definition:** An optimization step that preserves identity continuity by matching detections with existing tracks at minimum cost.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hungarian-assignment-for-tracking","slug":"hungarian-assignment-for-tracking","lang":"en","title":"Hungarian Assignment for Tracking","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:25.874Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.410Z","tags":["Hungarian Algorithm","Tracking","Data Association","Optimization"]}},{"page_content":"# Hibrit Retrieval\n\n**Definition:** Sparse ve dense retrieval sinyallerini birleştirerek daha dengeli arama kalitesi sağlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hybrid-retrieval","slug":"hybrid-retrieval","lang":"tr","title":"Hibrit Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:43:48.422Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.475Z","tags":["Hybrid Retrieval","RAG","Search","Semantic Retrieval"]}},{"page_content":"# Hybrid Retrieval\n\n**Definition:** An approach that combines sparse and dense retrieval signals to provide more balanced search quality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hybrid-retrieval","slug":"hybrid-retrieval","lang":"en","title":"Hybrid Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:43:48.422Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.475Z","tags":["Hybrid Retrieval","RAG","Search","Semantic Retrieval"]}},{"page_content":"# Hibrit Arama\n\n**Definition:** Semantik vektör aramayı anahtar kelime ve filtre tabanlı klasik arama teknikleriyle birleştiren yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hybrid-search","slug":"hybrid-search","lang":"tr","title":"Hibrit Arama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:45:32.840Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.768Z","tags":["Hybrid Search","Semantic Search","Keywords","RAG"]}},{"page_content":"# Hybrid Search\n\n**Definition:** An approach that combines semantic vector search with keyword-based and filter-based classical retrieval techniques.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hybrid-search","slug":"hybrid-search","lang":"en","title":"Hybrid Search","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:45:32.840Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.768Z","tags":["Hybrid Search","Semantic Search","Keywords","RAG"]}},{"page_content":"# Hyperband\n\n**Definition:** Başarısız hiperparametre adaylarını erken elemek için kaynak tahsisini dinamik kullanan optimizasyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/hyperband","slug":"hyperband","lang":"tr","title":"Hyperband","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:04.453Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.998Z","tags":["Hyperband","Hyperparameter Optimization","Resource Allocation","Early Stopping"]}},{"page_content":"# Hyperband\n\n**Definition:** An optimization method that uses dynamic resource allocation to eliminate poor hyperparameter candidates early.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/hyperband","slug":"hyperband","lang":"en","title":"Hyperband","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:04.453Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.998Z","tags":["Hyperband","Hyperparameter Optimization","Resource Allocation","Early Stopping"]}},{"page_content":"# İdempotensi\n\n**Definition:** Aynı işlemin birden fazla kez çalıştırılmasına rağmen tutarlı ve tekrar etmeyen sonuç üretme özelliği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/idempotency","slug":"idempotency","lang":"tr","title":"İdempotensi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:53:37.837Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.651Z","tags":["Idempotency","Reliability","Pipelines","Retries"]}},{"page_content":"# Idempotency\n\n**Definition:** The property of producing a stable, non-duplicated result even when the same operation is run multiple times.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/idempotency","slug":"idempotency","lang":"en","title":"Idempotency","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:53:37.837Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.651Z","tags":["Idempotency","Reliability","Pipelines","Retries"]}},{"page_content":"# Görüntü Artırma\n\n**Definition:** Eğitim verisini dönüşümlerle çeşitlendirerek modelin genelleme gücünü artıran veri odaklı teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-augmentation","slug":"image-augmentation","lang":"tr","title":"Görüntü Artırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:24.404Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.019Z","tags":["Augmentation","Generalization","Training Data","Robustness"]}},{"page_content":"# Image Augmentation\n\n**Definition:** A data-driven technique that improves model generalization by diversifying training data through transformations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-augmentation","slug":"image-augmentation","lang":"en","title":"Image Augmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:24.404Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.019Z","tags":["Augmentation","Generalization","Training Data","Robustness"]}},{"page_content":"# Görüntü Açıklama Üretimi\n\n**Definition:** Bir görüntünün içeriğini doğal dilde akıcı ve anlamlı cümlelerle ifade etme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-captioning","slug":"image-captioning","lang":"tr","title":"Görüntü Açıklama Üretimi","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:22:25.898Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.499Z","tags":["Image Captioning","Multimodal Generation","Vision-Language","Accessibility"]}},{"page_content":"# Image Captioning\n\n**Definition:** The task of expressing the content of an image in fluent and meaningful natural language.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-captioning","slug":"image-captioning","lang":"en","title":"Image Captioning","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:22:25.898Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.499Z","tags":["Image Captioning","Multimodal Generation","Vision-Language","Accessibility"]}},{"page_content":"# Görüntü Netleştirme\n\n**Definition:** Hareket, odak hatası veya kamera titreşimi kaynaklı bulanıklığı azaltarak görsel bilginin geri kazanılmasını amaçlayan restorasyon görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-deblurring","slug":"image-deblurring","lang":"tr","title":"Görüntü Netleştirme","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:50.536Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.460Z","tags":["Deblurring","Image Restoration","Preprocessing","Vision"]}},{"page_content":"# Image Deblurring\n\n**Definition:** A restoration task that aims to recover visual information by reducing blur caused by motion, focus error, or camera shake.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-deblurring","slug":"image-deblurring","lang":"en","title":"Image Deblurring","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:50.536Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.460Z","tags":["Deblurring","Image Restoration","Preprocessing","Vision"]}},{"page_content":"# Görüntü Gürültü Giderme\n\n**Definition:** Sensör, sıkıştırma veya iletim kaynaklı gürültüyü azaltarak görüntü kalitesini iyileştirme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-denoising","slug":"image-denoising","lang":"tr","title":"Görüntü Gürültü Giderme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:25.052Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.420Z","tags":["Denoising","Image Restoration","Preprocessing","Noise Reduction"]}},{"page_content":"# Image Denoising\n\n**Definition:** The process of improving image quality by reducing noise caused by sensors, compression, or transmission.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-denoising","slug":"image-denoising","lang":"en","title":"Image Denoising","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:25.052Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.420Z","tags":["Denoising","Image Restoration","Preprocessing","Noise Reduction"]}},{"page_content":"# Görüntü Normalizasyonu\n\n**Definition:** Piksel değerlerini belirli bir aralığa veya dağılıma getirerek model eğitimini daha kararlı hale getiren ön işleme adımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-normalization","slug":"image-normalization","lang":"tr","title":"Görüntü Normalizasyonu","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:38.408Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.207Z","tags":["Normalization","Preprocessing","Deep Learning","Image Data"]}},{"page_content":"# Image Normalization\n\n**Definition:** A preprocessing step that brings pixel values into a defined range or distribution to make model training more stable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-normalization","slug":"image-normalization","lang":"en","title":"Image Normalization","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:38.408Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:29.207Z","tags":["Normalization","Preprocessing","Deep Learning","Image Data"]}},{"page_content":"# Görüntü Kaydı\n\n**Definition:** Farklı zaman, açı veya sensörlerden gelen görüntüleri ortak koordinat sisteminde hizalama süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-registration","slug":"image-registration","lang":"tr","title":"Görüntü Kaydı","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:21.294Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.736Z","tags":["Image Registration","Alignment","Multimodal Imaging","Geometry"]}},{"page_content":"# Image Registration\n\n**Definition:** The process of aligning images from different times, viewpoints, or sensors within a common coordinate system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-registration","slug":"image-registration","lang":"en","title":"Image Registration","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:21.294Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.736Z","tags":["Image Registration","Alignment","Multimodal Imaging","Geometry"]}},{"page_content":"# Süper Çözünürlük\n\n**Definition:** Düşük çözünürlüklü görüntülerden daha ayrıntılı ve yüksek çözünürlüklü görseller üretmeye odaklanan restorasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-super-resolution","slug":"image-super-resolution","lang":"tr","title":"Süper Çözünürlük","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:32.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.559Z","tags":["Super-Resolution","Restoration","Low-Resolution Images","Computer Vision"]}},{"page_content":"# Image Super-Resolution\n\n**Definition:** A restoration approach focused on generating more detailed high-resolution images from low-resolution inputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-super-resolution","slug":"image-super-resolution","lang":"en","title":"Image Super-Resolution","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:32.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.559Z","tags":["Super-Resolution","Restoration","Low-Resolution Images","Computer Vision"]}},{"page_content":"# Görüntü-Metin Karşıtsal Öğrenme\n\n**Definition:** İlgili görüntü ve metin çiftlerini ortak uzayda yakınlaştırıp ilgisiz olanları uzaklaştırarak çok modlu temsil öğrenen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-text-contrastive-learning","slug":"image-text-contrastive-learning","lang":"tr","title":"Görüntü-Metin Karşıtsal Öğrenme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.993Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.680Z","tags":["Contrastive Learning","CLIP","Multimodal Embeddings","Vision-Language"]}},{"page_content":"# Image-Text Contrastive Learning\n\n**Definition:** An approach that learns multimodal representations by bringing related image-text pairs together and pushing unrelated pairs apart in a shared space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-text-contrastive-learning","slug":"image-text-contrastive-learning","lang":"en","title":"Image-Text Contrastive Learning","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:19.993Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.680Z","tags":["Contrastive Learning","CLIP","Multimodal Embeddings","Vision-Language"]}},{"page_content":"# Görüntü-Metin Retrieval\n\n**Definition:** Metinden ilgili görselleri veya görselden ilgili metinleri ortak çok modlu temsil uzayı üzerinden getiren görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/image-text-retrieval","slug":"image-text-retrieval","lang":"tr","title":"Görüntü-Metin Retrieval","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:21.438Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.670Z","tags":["Image-Text Retrieval","Multimodal Search","Embeddings","Vision-Language"]}},{"page_content":"# Image-Text Retrieval\n\n**Definition:** A task that retrieves relevant images from text or relevant text from images through a shared multimodal representation space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/image-text-retrieval","slug":"image-text-retrieval","lang":"en","title":"Image-Text Retrieval","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:21.438Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.670Z","tags":["Image-Text Retrieval","Multimodal Search","Embeddings","Vision-Language"]}},{"page_content":"# Dengesizlik Duyarlı Kalibrasyon\n\n**Definition:** Dengesiz sınıf yapısında model olasılıklarının gerçek risk seviyelerini daha doğru yansıtmasını sağlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/imbalance-aware-calibration","slug":"imbalance-aware-calibration","lang":"tr","title":"Dengesizlik Duyarlı Kalibrasyon","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:57.428Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.893Z","tags":["Calibration","Imbalanced Data","Probabilities","Risk Scoring"]}},{"page_content":"# Imbalance-Aware Calibration\n\n**Definition:** An approach that helps model probabilities reflect true risk levels more accurately under class imbalance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/imbalance-aware-calibration","slug":"imbalance-aware-calibration","lang":"en","title":"Imbalance-Aware Calibration","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:57.428Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.893Z","tags":["Calibration","Imbalanced Data","Probabilities","Risk Scoring"]}},{"page_content":"# Etki Analizi\n\n**Definition:** Bir veri değişikliğinin hangi raporları, modelleri, tabloları veya süreçleri etkileyebileceğini önceden değerlendirme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/impact-analysis","slug":"impact-analysis","lang":"tr","title":"Etki Analizi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:57.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.197Z","tags":["Impact Analysis","Change Management","Lineage","Data Platform"]}},{"page_content":"# Impact Analysis\n\n**Definition:** The process of assessing in advance which reports, models, tables, or workflows may be affected by a data change.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/impact-analysis","slug":"impact-analysis","lang":"en","title":"Impact Analysis","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:57.626Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:57.197Z","tags":["Impact Analysis","Change Management","Lineage","Data Platform"]}},{"page_content":"# Örtük Türev Alma\n\n**Definition:** Doğrudan açık biçimde yazılmayan çözümler veya denge koşulları üzerinden türev hesaplama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/implicit-differentiation","slug":"implicit-differentiation","lang":"tr","title":"Örtük Türev Alma","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:51.942Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.809Z","tags":["Implicit Differentiation","Differentiable Programming","Optimization Layers","Advanced Training"]}},{"page_content":"# Implicit Differentiation\n\n**Definition:** An approach for computing derivatives through solutions or equilibrium conditions that are not written explicitly.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/implicit-differentiation","slug":"implicit-differentiation","lang":"en","title":"Implicit Differentiation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:51.942Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.809Z","tags":["Implicit Differentiation","Differentiable Programming","Optimization Layers","Advanced Training"]}},{"page_content":"# Örtük Geri Bildirimli Öneri\n\n**Definition:** Açık puanlama yerine tıklama, görüntüleme, satın alma gibi davranış sinyalleriyle çalışan öneri yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/implicit-feedback-recommendation","slug":"implicit-feedback-recommendation","lang":"tr","title":"Örtük Geri Bildirimli Öneri","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:53.851Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.201Z","tags":["Implicit Feedback","Recommendation","Behavioral Signals","Ranking"]}},{"page_content":"# Implicit Feedback Recommendation\n\n**Definition:** A recommendation approach that relies on behavioral signals such as clicks, views, and purchases instead of explicit ratings.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/implicit-feedback-recommendation","slug":"implicit-feedback-recommendation","lang":"en","title":"Implicit Feedback Recommendation","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:53.851Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.201Z","tags":["Implicit Feedback","Recommendation","Behavioral Signals","Ranking"]}},{"page_content":"# Eksik Veri Doldurma\n\n**Definition:** Eksik gözlemlerin istatistiksel, kurallı veya model tabanlı yöntemlerle tamamlanması süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/imputation","slug":"imputation","lang":"tr","title":"Eksik Veri Doldurma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:48:11.337Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.199Z","tags":["Imputation","Missing Data","Preprocessing","Statistics"]}},{"page_content":"# Imputation\n\n**Definition:** The process of filling missing observations using statistical, rule-based, or model-driven methods.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/imputation","slug":"imputation","lang":"en","title":"Imputation","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:48:11.337Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.199Z","tags":["Imputation","Missing Data","Preprocessing","Statistics"]}},{"page_content":"# In-Context Learning\n\n**Definition:** Modelin parametre güncellemeden, yalnızca bağlam içindeki örneklerden görev davranışı uyarlaması yeteneği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/in-context-learning","slug":"in-context-learning","lang":"tr","title":"In-Context Learning","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:31:15.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:00.093Z","tags":["In-Context Learning","LLM","Prompting","Few-Shot Learning"]}},{"page_content":"# In-Context Learning\n\n**Definition:** The ability of a model to adapt task behavior from examples in context without updating its parameters.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/in-context-learning","slug":"in-context-learning","lang":"en","title":"In-Context Learning","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:31:15.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:00.093Z","tags":["In-Context Learning","LLM","Prompting","Few-Shot Learning"]}},{"page_content":"# Bağımsız Bileşen Analizi\n\n**Definition:** Karışık sinyalleri istatistiksel olarak bağımsız bileşenlerine ayırmayı amaçlayan boyut indirgeme ve ayrıştırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/independent-component-analysis","slug":"independent-component-analysis","lang":"tr","title":"Bağımsız Bileşen Analizi","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:54.969Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.206Z","tags":["ICA","Dimensionality Reduction","Signal Separation","Latent Structure"]}},{"page_content":"# Independent Component Analysis\n\n**Definition:** A dimensionality reduction and separation method that aims to decompose mixed signals into statistically independent components.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/independent-component-analysis","slug":"independent-component-analysis","lang":"en","title":"Independent Component Analysis","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:54.969Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.206Z","tags":["ICA","Dimensionality Reduction","Signal Separation","Latent Structure"]}},{"page_content":"# İndüktif Yanlılık\n\n**Definition:** Bir modelin hangi tür örüntüleri öğrenmeye doğal olarak daha yatkın olduğunu belirleyen yapısal eğilim.","metadata":{"source":"https://sukruyusufkaya.com/glossary/inductive-bias","slug":"inductive-bias","lang":"tr","title":"İndüktif Yanlılık","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.753Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.073Z","tags":["Inductive Bias","Architecture","Generalization","Model Design"]}},{"page_content":"# Inductive Bias\n\n**Definition:** The structural tendency that determines which kinds of patterns a model is naturally more likely to learn.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/inductive-bias","slug":"inductive-bias","lang":"en","title":"Inductive Bias","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.753Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.073Z","tags":["Inductive Bias","Architecture","Generalization","Model Design"]}},{"page_content":"# Instance Segmentasyon\n\n**Definition:** Aynı sınıfa ait nesneleri ayrı ayrı ayırt ederek her biri için piksel maskesi üreten görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/instance-segmentation","slug":"instance-segmentation","lang":"tr","title":"Instance Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:09.765Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.204Z","tags":["Instance Segmentation","Mask R-CNN","Object Masks","Vision"]}},{"page_content":"# Instance Segmentation\n\n**Definition:** A task that distinguishes individual objects of the same class and produces a pixel mask for each one.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/instance-segmentation","slug":"instance-segmentation","lang":"en","title":"Instance Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:09.765Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.204Z","tags":["Instance Segmentation","Mask R-CNN","Object Masks","Vision"]}},{"page_content":"# Talimat Takibi\n\n**Definition:** Modelin doğal dilde verilen görev açıklamalarını güvenilir biçimde yerine getirebilme yeteneği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/instruction-following","slug":"instruction-following","lang":"tr","title":"Talimat Takibi","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:54.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:00.006Z","tags":["Instruction Following","LLM","Prompting","Task Control"]}},{"page_content":"# Instruction Following\n\n**Definition:** The ability of a model to reliably follow task instructions expressed in natural language.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/instruction-following","slug":"instruction-following","lang":"en","title":"Instruction Following","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:54.027Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:00.006Z","tags":["Instruction Following","LLM","Prompting","Task Control"]}},{"page_content":"# Talimat Modeli\n\n**Definition:** Genel dil modelinin görev yönergelerini daha iyi takip edecek biçimde uyarlanmış sürümü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/instruction-model","slug":"instruction-model","lang":"tr","title":"Talimat Modeli","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:18:55.129Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.377Z","tags":["Instruction Model","LLM","Task Following","Generative AI"]}},{"page_content":"# Instruction Model\n\n**Definition:** A version of a general language model adapted to follow task instructions more effectively.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/instruction-model","slug":"instruction-model","lang":"en","title":"Instruction Model","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:18:55.129Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.377Z","tags":["Instruction Model","LLM","Task Following","Generative AI"]}},{"page_content":"# Talimat İnce Ayarı\n\n**Definition:** Dil modelini doğal dil görev tanımlarına daha iyi yanıt verecek şekilde uyarlayan ince ayar yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/instruction-tuning","slug":"instruction-tuning","lang":"tr","title":"Talimat İnce Ayarı","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:29.980Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.735Z","tags":["Instruction Tuning","LLM","Fine-Tuning","Task Following"]}},{"page_content":"# Instruction Tuning\n\n**Definition:** A fine-tuning approach that adapts a language model to respond better to natural language task instructions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/instruction-tuning","slug":"instruction-tuning","lang":"en","title":"Instruction Tuning","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:29.980Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.735Z","tags":["Instruction Tuning","LLM","Fine-Tuning","Task Following"]}},{"page_content":"# Enstrümantasyon Tasarımı\n\n**Definition:** Ürün, süreç veya sistem davranışlarını doğru ölçebilmek için hangi olayların ve alanların nasıl kaydedileceğini tanımlayan tasarım yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/instrumentasyon-tasarimi","slug":"instrumentasyon-tasarimi","lang":"tr","title":"Enstrümantasyon Tasarımı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:46:47.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.430Z","tags":["Instrumentation","Measurement Design","Event Tracking","Analytics"]}},{"page_content":"# Instrumentation Design\n\n**Definition:** A design approach that defines which events and fields should be recorded, and how, in order to measure product, process, or system behavior correctly.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/instrumentasyon-tasarimi","slug":"instrumentasyon-tasarimi","lang":"en","title":"Instrumentation Design","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:46:47.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.430Z","tags":["Instrumentation","Measurement Design","Event Tracking","Analytics"]}},{"page_content":"# INT4 Nicemleme\n\n**Definition:** Modeli 4 bit hassasiyet düzeyine indirerek çok daha düşük bellek maliyeti sağlayan agresif nicemleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/int4-quantization","slug":"int4-quantization","lang":"tr","title":"INT4 Nicemleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:47.289Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.279Z","tags":["INT4","Low-Bit Quantization","LLM Inference","Memory Efficiency"]}},{"page_content":"# INT4 Quantization\n\n**Definition:** An aggressive quantization approach that reduces the model to 4-bit precision for much lower memory cost.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/int4-quantization","slug":"int4-quantization","lang":"en","title":"INT4 Quantization","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:47.289Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.279Z","tags":["INT4","Low-Bit Quantization","LLM Inference","Memory Efficiency"]}},{"page_content":"# INT8 Nicemleme\n\n**Definition:** Ağırlık ve bazen aktivasyonları 8 bit düzeyine indirerek dengeli verimlilik ve kalite sunan yaygın nicemleme biçimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/int8-quantization","slug":"int8-quantization","lang":"tr","title":"INT8 Nicemleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:00.209Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.191Z","tags":["INT8","Quantization","Inference","Efficiency"]}},{"page_content":"# INT8 Quantization\n\n**Definition:** A common quantization form that reduces weights and sometimes activations to 8-bit precision for balanced efficiency and quality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/int8-quantization","slug":"int8-quantization","lang":"en","title":"INT8 Quantization","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:00.209Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.191Z","tags":["INT8","Quantization","Inference","Efficiency"]}},{"page_content":"# Niyet Sınıflandırma\n\n**Definition:** Kullanıcı ifadesinin hangi amaç veya işlem niyetini temsil ettiğini tahmin etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/intent-classification","slug":"intent-classification","lang":"tr","title":"Niyet Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:22.361Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.183Z","tags":["Intent Classification","Dialogue Systems","Assistants","NLP"]}},{"page_content":"# Intent Classification\n\n**Definition:** A task focused on predicting what purpose or action intent a user utterance represents.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/intent-classification","slug":"intent-classification","lang":"en","title":"Intent Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:22.361Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.183Z","tags":["Intent Classification","Dialogue Systems","Assistants","NLP"]}},{"page_content":"# Annotatörler Arası Uyum\n\n**Definition:** Farklı etiketleyicilerin aynı veri örneğine ne ölçüde benzer karar verdiğini gösteren kalite ölçüsü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/inter-annotator-agreement","slug":"inter-annotator-agreement","lang":"tr","title":"Annotatörler Arası Uyum","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:11.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.063Z","tags":["Inter-Annotator Agreement","Quality","Cohen's Kappa","Annotation"]}},{"page_content":"# Inter-Annotator Agreement\n\n**Definition:** A quality measure indicating how consistently different annotators make similar decisions on the same data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/inter-annotator-agreement","slug":"inter-annotator-agreement","lang":"en","title":"Inter-Annotator Agreement","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:11.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.063Z","tags":["Inter-Annotator Agreement","Quality","Cohen's Kappa","Annotation"]}},{"page_content":"# Isolation Forest\n\n**Definition:** Anormal örnekleri izole etmenin daha kolay olduğu varsayımına dayanan anomali tespiti yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/isolation-forest","slug":"isolation-forest","lang":"tr","title":"Isolation Forest","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:55:20.751Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.234Z","tags":["Isolation Forest","Anomaly Detection","Outliers","Unsupervised Learning"]}},{"page_content":"# Isolation Forest\n\n**Definition:** An anomaly detection method based on the assumption that anomalous instances are easier to isolate.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/isolation-forest","slug":"isolation-forest","lang":"en","title":"Isolation Forest","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:55:20.751Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.234Z","tags":["Isolation Forest","Anomaly Detection","Outliers","Unsupervised Learning"]}},{"page_content":"# Isomap\n\n**Definition:** Verinin manifold yapısını yaklaşık jeodezik uzaklıklar üzerinden korumaya çalışan doğrusal olmayan boyut indirgeme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/isomap","slug":"isomap","lang":"tr","title":"Isomap","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:10.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.297Z","tags":["Isomap","Manifold Learning","Dimensionality Reduction","Nonlinear Methods"]}},{"page_content":"# Isomap\n\n**Definition:** A nonlinear dimensionality reduction method that seeks to preserve manifold structure through approximate geodesic distances.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/isomap","slug":"isomap","lang":"en","title":"Isomap","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:10.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.297Z","tags":["Isomap","Manifold Learning","Dimensionality Reduction","Nonlinear Methods"]}},{"page_content":"# İstatistiksel Güç\n\n**Definition:** Gerçekte var olan bir etkiyi istatistiksel testin yakalayabilme olasılığı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/istatistiksel-guc","slug":"istatistiksel-guc","lang":"tr","title":"İstatistiksel Güç","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:18.958Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.223Z","tags":["Statistical Power","Testing","Experiment Design","Type II Error"]}},{"page_content":"# Statistical Power\n\n**Definition:** The probability that a statistical test will detect an effect when that effect truly exists.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/istatistiksel-guc","slug":"istatistiksel-guc","lang":"en","title":"Statistical Power","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:18.958Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.223Z","tags":["Statistical Power","Testing","Experiment Design","Type II Error"]}},{"page_content":"# Jakoben\n\n**Definition:** Vektör değerli fonksiyonların türev bilgisini matris halinde taşıyan yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/jacobian","slug":"jacobian","lang":"tr","title":"Jakoben","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:24.561Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.948Z","tags":["Jacobian","Derivatives","Matrix","Multivariable"]}},{"page_content":"# Jacobian\n\n**Definition:** A matrix structure that carries derivative information for vector-valued functions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/jacobian","slug":"jacobian","lang":"en","title":"Jacobian","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:24.561Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.948Z","tags":["Jacobian","Derivatives","Matrix","Multivariable"]}},{"page_content":"# Jacobian Matrisi\n\n**Definition:** Vektör değerli fonksiyonların türev yapısını temsil eden ve çok boyutlu geri yayılımda önemli rol oynayan matris.","metadata":{"source":"https://sukruyusufkaya.com/glossary/jacobian-matrix","slug":"jacobian-matrix","lang":"tr","title":"Jacobian Matrisi","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:03.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.300Z","tags":["Jacobian","Automatic Differentiation","Gradients","Matrix Calculus"]}},{"page_content":"# Jacobian Matrix\n\n**Definition:** A matrix representing the derivative structure of vector-valued functions and playing an important role in multidimensional backpropagation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/jacobian-matrix","slug":"jacobian-matrix","lang":"en","title":"Jacobian Matrix","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:03.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.300Z","tags":["Jacobian","Automatic Differentiation","Gradients","Matrix Calculus"]}},{"page_content":"# Jensen-Shannon Divergence\n\n**Definition:** İki dağılım arasındaki farkı daha simetrik ve daha kararlı biçimde ölçen bilgi teorisi ayrışma metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/jensen-shannon-divergence","slug":"jensen-shannon-divergence","lang":"tr","title":"Jensen-Shannon Divergence","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:34.638Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.688Z","tags":["JSD","Distribution Comparison","Information Theory","Generative Models"]}},{"page_content":"# Jensen-Shannon Divergence\n\n**Definition:** An information-theoretic divergence measure that compares two distributions in a more symmetric and stable way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/jensen-shannon-divergence","slug":"jensen-shannon-divergence","lang":"en","title":"Jensen-Shannon Divergence","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:34.638Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.688Z","tags":["JSD","Distribution Comparison","Information Theory","Generative Models"]}},{"page_content":"# İş Zincirleme\n\n**Definition:** Batch işlerinin çıktı-girdi ilişkisine göre ardışık biçimde birbirini tetiklediği yürütme modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/job-chaining","slug":"job-chaining","lang":"tr","title":"İş Zincirleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:04.717Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.981Z","tags":["Job Chaining","Batch Jobs","Dependencies","Workflow"]}},{"page_content":"# Job Chaining\n\n**Definition:** An execution model in which batch jobs trigger one another sequentially based on output-input relationships.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/job-chaining","slug":"job-chaining","lang":"en","title":"Job Chaining","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:04.717Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.981Z","tags":["Job Chaining","Batch Jobs","Dependencies","Workflow"]}},{"page_content":"# İş Zamanlayıcı\n\n**Definition:** Batch veya hibrit veri işlerinin ne zaman ve hangi koşullarda çalışacağını yöneten sistem bileşeni.","metadata":{"source":"https://sukruyusufkaya.com/glossary/job-scheduler","slug":"job-scheduler","lang":"tr","title":"İş Zamanlayıcı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:52.199Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.904Z","tags":["Scheduler","Batch Jobs","Operations","Automation"]}},{"page_content":"# Job Scheduler\n\n**Definition:** A system component that governs when and under what conditions batch or hybrid jobs should run.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/job-scheduler","slug":"job-scheduler","lang":"en","title":"Job Scheduler","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:52.199Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.904Z","tags":["Scheduler","Batch Jobs","Operations","Automation"]}},{"page_content":"# k-Anonimlik\n\n**Definition:** Her bireyin en az k kişiyle ayırt edilemez olmasını hedefleyen gizlilik koruma modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/k-anonimlik","slug":"k-anonimlik","lang":"tr","title":"k-Anonimlik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:03.214Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.628Z","tags":["k-Anonymity","Privacy","Re-identification","Data Sharing"]}},{"page_content":"# k-Anonymity\n\n**Definition:** A privacy protection model that aims to make each individual indistinguishable from at least k others.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/k-anonimlik","slug":"k-anonimlik","lang":"en","title":"k-Anonymity","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:03.214Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.628Z","tags":["k-Anonymity","Privacy","Re-identification","Data Sharing"]}},{"page_content":"# K-Katlı Çapraz Doğrulama\n\n**Definition:** Veriyi farklı katmanlara bölerek modeli tekrar tekrar değerlendirip daha güvenilir performans tahmini sağlayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/k-katli-capraz-dogrulama","slug":"k-katli-capraz-dogrulama","lang":"tr","title":"K-Katlı Çapraz Doğrulama","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:52.196Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.872Z","tags":["K-Fold","Cross Validation","Evaluation","Model Selection"]}},{"page_content":"# K-Fold Cross Validation\n\n**Definition:** A method that repeatedly evaluates a model across different data folds to provide a more reliable estimate of performance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/k-katli-capraz-dogrulama","slug":"k-katli-capraz-dogrulama","lang":"en","title":"K-Fold Cross Validation","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:52.196Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.872Z","tags":["K-Fold","Cross Validation","Evaluation","Model Selection"]}},{"page_content":"# K-Means\n\n**Definition:** Veri noktalarını merkezlere olan uzaklıklarına göre k adet kümeye ayıran en yaygın kümeleme algoritmalarından biri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/k-means","slug":"k-means","lang":"tr","title":"K-Means","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:42.913Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.403Z","tags":["K-Means","Clustering","Unsupervised Learning","Segmentation"]}},{"page_content":"# K-Means\n\n**Definition:** One of the most common clustering algorithms, which partitions data points into k clusters based on distance to centroids.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/k-means","slug":"k-means","lang":"en","title":"K-Means","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:42.913Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.403Z","tags":["K-Means","Clustering","Unsupervised Learning","Segmentation"]}},{"page_content":"# K-En Yakın Komşu Sınıflandırıcısı\n\n**Definition:** Bir örneği, özellik uzayındaki en yakın komşularının sınıflarına bakarak etiketleyen örnek tabanlı sınıflandırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/k-nearest-neighbors-classifier","slug":"k-nearest-neighbors-classifier","lang":"tr","title":"K-En Yakın Komşu Sınıflandırıcısı","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:42:58.681Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.868Z","tags":["KNN","Classification","Instance-Based Learning","Similarity"]}},{"page_content":"# K-Nearest Neighbors Classifier\n\n**Definition:** An instance-based classification method that labels a sample according to the classes of its nearest neighbors in feature space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/k-nearest-neighbors-classifier","slug":"k-nearest-neighbors-classifier","lang":"en","title":"K-Nearest Neighbors Classifier","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:42:58.681Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.868Z","tags":["KNN","Classification","Instance-Based Learning","Similarity"]}},{"page_content":"# Kalibrasyon\n\n**Definition:** Bir modelin ürettiği olasılıkların gerçek gerçekleşme oranlarıyla ne kadar uyumlu olduğunu ifade eden özellik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kalibrasyon","slug":"kalibrasyon","lang":"tr","title":"Kalibrasyon","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:50.958Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.140Z","tags":["Calibration","Probabilities","Risk Models","Evaluation"]}},{"page_content":"# Calibration\n\n**Definition:** A property describing how well a model’s predicted probabilities align with actual observed frequencies.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kalibrasyon","slug":"kalibrasyon","lang":"en","title":"Calibration","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:50.958Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.140Z","tags":["Calibration","Probabilities","Risk Models","Evaluation"]}},{"page_content":"# Kalman Filtre Tabanlı Takip\n\n**Definition:** Nesnenin gelecekteki konumunu hareket modeliyle tahmin ederek takip kararlılığı sağlayan klasik yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kalman-filter-tracking","slug":"kalman-filter-tracking","lang":"tr","title":"Kalman Filtre Tabanlı Takip","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:47.705Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.317Z","tags":["Kalman Filter","Tracking","Motion Prediction","Classical Vision"]}},{"page_content":"# Kalman Filter Tracking\n\n**Definition:** A classical approach that stabilizes tracking by predicting an object’s future position through a motion model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kalman-filter-tracking","slug":"kalman-filter-tracking","lang":"en","title":"Kalman Filter Tracking","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:47.705Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.317Z","tags":["Kalman Filter","Tracking","Motion Prediction","Classical Vision"]}},{"page_content":"# Kanal Kapasitesi\n\n**Definition:** Bir iletişim kanalının teorik olarak hata yapmadan taşıyabileceği maksimum bilgi miktarı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kanal-kapasitesi","slug":"kanal-kapasitesi","lang":"tr","title":"Kanal Kapasitesi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:46:49.290Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.781Z","tags":["Channel Capacity","Information Theory","Communication","Noise"]}},{"page_content":"# Channel Capacity\n\n**Definition:** The theoretical maximum amount of information that a communication channel can transmit without error.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kanal-kapasitesi","slug":"kanal-kapasitesi","lang":"en","title":"Channel Capacity","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:46:49.290Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.781Z","tags":["Channel Capacity","Information Theory","Communication","Noise"]}},{"page_content":"# Karşılıklı Bilgi\n\n**Definition:** Bir değişkenin bilinmesinin diğer değişken hakkındaki belirsizliği ne kadar azalttığını ölçen kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/karsilikli-bilgi","slug":"karsilikli-bilgi","lang":"tr","title":"Karşılıklı Bilgi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:31.321Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.505Z","tags":["Mutual Information","Feature Selection","Dependency","Information Theory"]}},{"page_content":"# Mutual Information\n\n**Definition:** A concept that measures how much knowing one variable reduces uncertainty about another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/karsilikli-bilgi","slug":"karsilikli-bilgi","lang":"en","title":"Mutual Information","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:31.321Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.505Z","tags":["Mutual Information","Feature Selection","Dependency","Information Theory"]}},{"page_content":"# Kategori Standardizasyonu\n\n**Definition:** Aynı kavramı temsil eden farklı yazım, kısaltma veya formatların tek bir standart biçimde birleştirilmesi işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kategori-standardizasyonu","slug":"kategori-standardizasyonu","lang":"tr","title":"Kategori Standardizasyonu","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:48:20.324Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.826Z","tags":["Category Standardization","Cleaning","Controlled Vocabulary","Normalization"]}},{"page_content":"# Category Standardization\n\n**Definition:** The process of unifying different spellings, abbreviations, or formats representing the same concept into one standard form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kategori-standardizasyonu","slug":"kategori-standardizasyonu","lang":"en","title":"Category Standardization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:48:20.324Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.826Z","tags":["Category Standardization","Cleaning","Controlled Vocabulary","Normalization"]}},{"page_content":"# Kayıp Fonksiyonu\n\n**Definition:** Model tahminleri ile gerçek değerler arasındaki farkı sayısallaştıran ve eğitimin yönünü belirleyen matematiksel fonksiyon.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kayip-fonksiyonu","slug":"kayip-fonksiyonu","lang":"tr","title":"Kayıp Fonksiyonu","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:48:20.481Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.728Z","tags":["Loss Function","Optimizasyon","Hata","Eğitim"]}},{"page_content":"# Loss Function\n\n**Definition:** A mathematical function that quantifies the difference between model predictions and true values and guides the training process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kayip-fonksiyonu","slug":"kayip-fonksiyonu","lang":"en","title":"Loss Function","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:48:20.481Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.728Z","tags":["Loss Function","Optimizasyon","Hata","Eğitim"]}},{"page_content":"# Kendinden Denetimli Öğrenme\n\n**Definition:** Verinin kendi iç yapısından denetim sinyali üreterek güçlü temsil öğrenmeyi mümkün kılan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kendinden-denetimli-ogrenme","slug":"kendinden-denetimli-ogrenme","lang":"tr","title":"Kendinden Denetimli Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:58.644Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.777Z","tags":["Self-Supervised","Foundation Models","Temsil","Ön Eğitim"]}},{"page_content":"# Self-Supervised Learning\n\n**Definition:** An approach that enables strong representation learning by generating supervision signals from the internal structure of the data itself.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kendinden-denetimli-ogrenme","slug":"kendinden-denetimli-ogrenme","lang":"en","title":"Self-Supervised Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:58.644Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.777Z","tags":["Self-Supervised","Foundation Models","Temsil","Ön Eğitim"]}},{"page_content":"# Keşif-Sömürü Dengesi\n\n**Definition:** Yeni bilgi toplamak için yeni seçenekleri denemek ile bilinen iyi seçenekleri kullanmak arasındaki denge problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kesif-somuru-dengesi","slug":"kesif-somuru-dengesi","lang":"tr","title":"Keşif-Sömürü Dengesi","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:34.994Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.347Z","tags":["Exploration","Exploitation","RL","Karar"]}},{"page_content":"# Exploration-Exploitation Trade-off\n\n**Definition:** The balance problem between trying new options to gain information and using already known good options.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kesif-somuru-dengesi","slug":"kesif-somuru-dengesi","lang":"en","title":"Exploration-Exploitation Trade-off","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:34.994Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.347Z","tags":["Exploration","Exploitation","RL","Karar"]}},{"page_content":"# Key-Value Cache\n\n**Definition:** Otokorelasyonlu Transformer üretiminde önceki dikkat temsillerini saklayarak çıkarımı hızlandıran mekanizma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/key-value-cache","slug":"key-value-cache","lang":"tr","title":"Key-Value Cache","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:42.328Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.279Z","tags":["KV Cache","Transformers","Inference","LLM"]}},{"page_content":"# Key-Value Cache\n\n**Definition:** A mechanism that speeds up autoregressive Transformer inference by storing previous attention representations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/key-value-cache","slug":"key-value-cache","lang":"en","title":"Key-Value Cache","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:42.328Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.279Z","tags":["KV Cache","Transformers","Inference","LLM"]}},{"page_content":"# Anahtar-Değer Çıkarımı\n\n**Definition:** Belgedeki alan isimleri ile karşılık gelen içerikleri eşleştirerek yapılandırılmış veri oluşturan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/key-value-extraction","slug":"key-value-extraction","lang":"tr","title":"Anahtar-Değer Çıkarımı","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:26.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.146Z","tags":["Key-Value Extraction","Forms","Document AI","Automation"]}},{"page_content":"# Key-Value Extraction\n\n**Definition:** A task that matches field names with their corresponding values in a document to create structured data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/key-value-extraction","slug":"key-value-extraction","lang":"en","title":"Key-Value Extraction","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:26.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.146Z","tags":["Key-Value Extraction","Forms","Document AI","Automation"]}},{"page_content":"# Anahtar İfade Çıkarımı\n\n**Definition:** Bir metni en iyi temsil eden önemli ifade ve terimleri otomatik belirleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/keyphrase-extraction","slug":"keyphrase-extraction","lang":"tr","title":"Anahtar İfade Çıkarımı","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:39.254Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.646Z","tags":["Keyphrase Extraction","Indexing","Document Processing","NLP"]}},{"page_content":"# Keyphrase Extraction\n\n**Definition:** The task of automatically identifying the key terms and phrases that best represent a text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/keyphrase-extraction","slug":"keyphrase-extraction","lang":"en","title":"Keyphrase Extraction","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:39.254Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.646Z","tags":["Keyphrase Extraction","Indexing","Document Processing","NLP"]}},{"page_content":"# Anahtar Nokta Tespiti\n\n**Definition:** Görüntüde ayırt edici ve tekrarlanabilir yerel noktaları bularak eşleme ve hizalama görevlerini destekleyen işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/keypoint-detection","slug":"keypoint-detection","lang":"tr","title":"Anahtar Nokta Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:22.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.755Z","tags":["Keypoints","Matching","Pose Estimation","Feature Extraction"]}},{"page_content":"# Keypoint Detection\n\n**Definition:** An operation that finds distinctive and repeatable local points in an image to support matching and alignment tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/keypoint-detection","slug":"keypoint-detection","lang":"en","title":"Keypoint Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:22.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.755Z","tags":["Keypoints","Matching","Pose Estimation","Feature Extraction"]}},{"page_content":"# Ki-Kare Dağılımı\n\n**Definition:** Karelenmiş standart normal değişkenlerin toplamından türeyen ve istatistiksel testlerde yaygın kullanılan dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ki-kare-dagilimi","slug":"ki-kare-dagilimi","lang":"tr","title":"Ki-Kare Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:05.214Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.946Z","tags":["Chi-Square","Testing","Categorical Data","Distribution"]}},{"page_content":"# Chi-Square Distribution\n\n**Definition:** A distribution derived from the sum of squared standard normal variables and widely used in statistical testing.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ki-kare-dagilimi","slug":"ki-kare-dagilimi","lang":"en","title":"Chi-Square Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:05.214Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.946Z","tags":["Chi-Square","Testing","Categorical Data","Distribution"]}},{"page_content":"# Kısıtlı Optimizasyon\n\n**Definition:** Çözümün yalnızca amaç fonksiyonunu değil, aynı zamanda belirli kısıtları da sağlamak zorunda olduğu optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kisitli-optimizasyon","slug":"kisitli-optimizasyon","lang":"tr","title":"Kısıtlı Optimizasyon","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:33.658Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.676Z","tags":["Constrained Optimization","Constraints","Fairness","Operations"]}},{"page_content":"# Constrained Optimization\n\n**Definition:** An optimization approach in which the solution must satisfy not only the objective function but also specified constraints.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kisitli-optimizasyon","slug":"kisitli-optimizasyon","lang":"en","title":"Constrained Optimization","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:33.658Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.676Z","tags":["Constrained Optimization","Constraints","Fairness","Operations"]}},{"page_content":"# Kısmi Türev\n\n**Definition:** Çok değişkenli bir fonksiyonun yalnızca bir değişkene göre değişimini ölçen türev türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kismi-turev","slug":"kismi-turev","lang":"tr","title":"Kısmi Türev","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:38.845Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.505Z","tags":["Partial Derivative","Multivariable","Optimization","Parameters"]}},{"page_content":"# Partial Derivative\n\n**Definition:** A derivative that measures the change of a multivariable function with respect to only one variable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kismi-turev","slug":"kismi-turev","lang":"en","title":"Partial Derivative","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:38.845Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.505Z","tags":["Partial Derivative","Multivariable","Optimization","Parameters"]}},{"page_content":"# KL Divergence\n\n**Definition:** Bir olasılık dağılımının başka bir dağılımdan ne kadar saptığını ölçen yönlü ayrışma metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kl-divergence","slug":"kl-divergence","lang":"tr","title":"KL Divergence","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:36.226Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.596Z","tags":["KL Divergence","Distributions","Information Theory","Modeling"]}},{"page_content":"# KL Divergence\n\n**Definition:** A directional divergence measure that quantifies how one probability distribution differs from another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kl-divergence","slug":"kl-divergence","lang":"en","title":"KL Divergence","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:36.226Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.596Z","tags":["KL Divergence","Distributions","Information Theory","Modeling"]}},{"page_content":"# Görüde Knowledge Distillation\n\n**Definition:** Büyük ve güçlü bir görsel modelin bilgisini daha küçük ve verimli bir modele aktarma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/knowledge-distillation-in-vision","slug":"knowledge-distillation-in-vision","lang":"tr","title":"Görüde Knowledge Distillation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.483Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.093Z","tags":["Knowledge Distillation","Efficient Vision","Model Compression","Classification"]}},{"page_content":"# Knowledge Distillation in Vision\n\n**Definition:** An approach for transferring knowledge from a large, powerful vision model into a smaller and more efficient one.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/knowledge-distillation-in-vision","slug":"knowledge-distillation-in-vision","lang":"en","title":"Knowledge Distillation in Vision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.483Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.093Z","tags":["Knowledge Distillation","Efficient Vision","Model Compression","Classification"]}},{"page_content":"# Konveks Optimizasyon\n\n**Definition:** Amaç fonksiyonu ve kısıtların uygun geometrik koşulları sağladığı, daha güvenilir çözümler sunan optimizasyon sınıfı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/konveks-optimizasyon","slug":"konveks-optimizasyon","lang":"tr","title":"Konveks Optimizasyon","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:55.816Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.589Z","tags":["Convex Optimization","Global Minimum","Geometry","ML"]}},{"page_content":"# Convex Optimization\n\n**Definition:** A class of optimization problems where the objective and constraints satisfy favorable geometric conditions that enable more reliable solutions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/konveks-optimizasyon","slug":"konveks-optimizasyon","lang":"en","title":"Convex Optimization","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:55.816Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.589Z","tags":["Convex Optimization","Global Minimum","Geometry","ML"]}},{"page_content":"# Korelasyon\n\n**Definition:** İki değişken arasındaki doğrusal ilişkinin yönünü ve gücünü standartlaştırılmış biçimde ölçen kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/korelasyon","slug":"korelasyon","lang":"tr","title":"Korelasyon","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:52.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.956Z","tags":["Correlation","Relationship","Feature Analysis","Statistics"]}},{"page_content":"# Correlation\n\n**Definition:** A standardized measure of the direction and strength of the linear relationship between two variables.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/korelasyon","slug":"korelasyon","lang":"en","title":"Correlation","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:43:52.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.956Z","tags":["Correlation","Relationship","Feature Analysis","Statistics"]}},{"page_content":"# Koşul Sayısı\n\n**Definition:** Bir matrisin sayısal olarak ne kadar hassas veya kararsız olduğunu ölçen önemli lineer cebir göstergesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kosul-sayisi","slug":"kosul-sayisi","lang":"tr","title":"Koşul Sayısı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:39.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.040Z","tags":["Condition Number","Numerical Stability","Regression","Optimization"]}},{"page_content":"# Condition Number\n\n**Definition:** An important linear algebra indicator that measures how numerically sensitive or unstable a matrix is.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kosul-sayisi","slug":"kosul-sayisi","lang":"en","title":"Condition Number","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:39.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.040Z","tags":["Condition Number","Numerical Stability","Regression","Optimization"]}},{"page_content":"# Koşullu Olasılık\n\n**Definition:** Bir olayın, başka bir olayın gerçekleştiği bilgisi altında ne kadar olası olduğunu ifade eden kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kosullu-olasilik","slug":"kosullu-olasilik","lang":"tr","title":"Koşullu Olasılık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:04.229Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.215Z","tags":["Conditional Probability","Bayes","Belirsizlik","Bağlam"]}},{"page_content":"# Conditional Probability\n\n**Definition:** A concept that measures how likely an event is given that another event has already occurred.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kosullu-olasilik","slug":"kosullu-olasilik","lang":"en","title":"Conditional Probability","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:04.229Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.215Z","tags":["Conditional Probability","Bayes","Belirsizlik","Bağlam"]}},{"page_content":"# Kovaryans\n\n**Definition:** İki değişkenin birlikte nasıl değiştiğini gösteren temel istatistiksel ilişki ölçüsü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kovaryans","slug":"kovaryans","lang":"tr","title":"Kovaryans","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:47.863Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.864Z","tags":["Covariance","İlişki","PCA","İstatistik"]}},{"page_content":"# Covariance\n\n**Definition:** A fundamental statistical measure that shows how two variables change together.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kovaryans","slug":"kovaryans","lang":"en","title":"Covariance","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:47.863Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.864Z","tags":["Covariance","İlişki","PCA","İstatistik"]}},{"page_content":"# Kural Tabanlı Sistem\n\n**Definition:** Davranışını önceden tanımlanmış eğer-o halde kuralları üzerinden belirleyen klasik sistem mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kural-tabanli-sistem","slug":"kural-tabanli-sistem","lang":"tr","title":"Kural Tabanlı Sistem","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:41.098Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.436Z","tags":["Rule-Based System","Kurallar","Mantık","Açıklanabilirlik"]}},{"page_content":"# Rule-Based System\n\n**Definition:** A classical system architecture whose behavior is determined by predefined if-then rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kural-tabanli-sistem","slug":"kural-tabanli-sistem","lang":"en","title":"Rule-Based System","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:41.098Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:26.436Z","tags":["Rule-Based System","Kurallar","Mantık","Açıklanabilirlik"]}},{"page_content":"# Kural Tabanlı Veri Temizleme\n\n**Definition:** Veri kalitesini iyileştirmek için açık iş kuralları ve doğrulama koşulları üzerinden çalışan temizlik yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kural-tabanli-veri-temizleme","slug":"kural-tabanli-veri-temizleme","lang":"tr","title":"Kural Tabanlı Veri Temizleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:57.616Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.230Z","tags":["Rule-Based Cleansing","Data Quality Rules","Validation","Enterprise Data"]}},{"page_content":"# Rule-Based Data Cleansing\n\n**Definition:** A cleansing approach that improves data quality through explicit business rules and validation conditions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kural-tabanli-veri-temizleme","slug":"kural-tabanli-veri-temizleme","lang":"en","title":"Rule-Based Data Cleansing","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:57.616Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.230Z","tags":["Rule-Based Cleansing","Data Quality Rules","Validation","Enterprise Data"]}},{"page_content":"# KV Cache\n\n**Definition:** Önceki attention hesaplarını saklayarak otoregresif üretimde tekrar hesaplama maliyetini azaltan mekanizma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/kv-cache","slug":"kv-cache","lang":"tr","title":"KV Cache","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:54:10.662Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.558Z","tags":["KV Cache","Inference","Latency","LLM"]}},{"page_content":"# KV Cache\n\n**Definition:** A mechanism that stores previous attention computations to reduce repeated work in autoregressive generation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/kv-cache","slug":"kv-cache","lang":"en","title":"KV Cache","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:54:10.662Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.558Z","tags":["KV Cache","Inference","Latency","LLM"]}},{"page_content":"# l-Çeşitlilik\n\n**Definition:** Anonimleştirilmiş gruplarda hassas alanların yeterli çeşitlilik taşımasını zorunlu kılan gizlilik modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/l-cesitlilik","slug":"l-cesitlilik","lang":"tr","title":"l-Çeşitlilik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:56.424Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.719Z","tags":["l-Diversity","Privacy","Sensitive Data","Anonymization"]}},{"page_content":"# l-Diversity\n\n**Definition:** A privacy model that requires sufficient diversity of sensitive values within anonymized groups.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/l-cesitlilik","slug":"l-cesitlilik","lang":"en","title":"l-Diversity","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:56.424Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.719Z","tags":["l-Diversity","Privacy","Sensitive Data","Anonymization"]}},{"page_content":"# Label Smoothing\n\n**Definition:** Modelin aşırı özgüven geliştirmesini azaltmak için hedef etiketleri yumuşatan kayıp iyileştirme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/label-smoothing","slug":"label-smoothing","lang":"tr","title":"Label Smoothing","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:16.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.429Z","tags":["Label Smoothing","Classification","Calibration","Deep Learning"]}},{"page_content":"# Label Smoothing\n\n**Definition:** A loss-related improvement technique that softens target labels to reduce overconfidence in the model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/label-smoothing","slug":"label-smoothing","lang":"en","title":"Label Smoothing","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:16.153Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.429Z","tags":["Label Smoothing","Classification","Calibration","Deep Learning"]}},{"page_content":"# Gecikmeli Özellik\n\n**Definition:** Geçmiş zaman adımlarındaki değerleri kullanarak zaman bağımlı örüntüleri modele taşıyan özellik türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lag-ozelligi","slug":"lag-ozelligi","lang":"tr","title":"Gecikmeli Özellik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:31.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.650Z","tags":["Lag Feature","Time Series","Sequential Data","Feature Engineering"]}},{"page_content":"# Lag Feature\n\n**Definition:** A type of feature that brings time-dependent patterns into the model using values from previous time steps.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lag-ozelligi","slug":"lag-ozelligi","lang":"en","title":"Lag Feature","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:31.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.650Z","tags":["Lag Feature","Time Series","Sequential Data","Feature Engineering"]}},{"page_content":"# Lagrange Çarpanları\n\n**Definition:** Kısıtlı optimizasyon problemlerinde amaç fonksiyonu ile kısıtlar arasındaki dengeyi kurmak için kullanılan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lagrange-carpanlari","slug":"lagrange-carpanlari","lang":"tr","title":"Lagrange Çarpanları","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:37.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.858Z","tags":["Lagrange Multipliers","Constrained Optimization","Math","Engineering"]}},{"page_content":"# Lagrange Multipliers\n\n**Definition:** A method used in constrained optimization to balance the objective function with the imposed constraints.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lagrange-carpanlari","slug":"lagrange-carpanlari","lang":"en","title":"Lagrange Multipliers","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:37.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.858Z","tags":["Lagrange Multipliers","Constrained Optimization","Math","Engineering"]}},{"page_content":"# Lakehouse\n\n**Definition:** Veri gölünün esnekliğini veri ambarının yönetilebilirliği ve performans özellikleriyle birleştiren modern mimari yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lakehouse","slug":"lakehouse","lang":"tr","title":"Lakehouse","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:52.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.912Z","tags":["Lakehouse","Unified Platform","ACID","Analytics"]}},{"page_content":"# Lakehouse\n\n**Definition:** A modern architectural approach that combines the flexibility of data lakes with the manageability and performance characteristics of warehouses.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lakehouse","slug":"lakehouse","lang":"en","title":"Lakehouse","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:52.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.912Z","tags":["Lakehouse","Unified Platform","ACID","Analytics"]}},{"page_content":"# ASR'de Dil Modeli Füzyonu\n\n**Definition:** Konuşma tanıma çıktısını daha dilsel olarak doğru hale getirmek için harici dil modeli bilgisini birleştiren yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/language-model-fusion-in-asr","slug":"language-model-fusion-in-asr","lang":"tr","title":"ASR'de Dil Modeli Füzyonu","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:34.095Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.366Z","tags":["Language Model Fusion","ASR","Decoding","Domain Speech"]}},{"page_content":"# Language Model Fusion in ASR\n\n**Definition:** An approach that incorporates external language model knowledge to make speech recognition output more linguistically accurate.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/language-model-fusion-in-asr","slug":"language-model-fusion-in-asr","lang":"en","title":"Language Model Fusion in ASR","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:34.095Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.366Z","tags":["Language Model Fusion","ASR","Decoding","Domain Speech"]}},{"page_content":"# Dil Modellemesi\n\n**Definition:** Bir dil dizisinin olasılık yapısını öğrenerek sonraki veya eksik birimleri tahmin etmeye odaklanan temel NLP problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/language-modeling","slug":"language-modeling","lang":"tr","title":"Dil Modellemesi","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:48:03.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.669Z","tags":["Language Modeling","LLM","Sequence Probability","NLP"]}},{"page_content":"# Language Modeling\n\n**Definition:** A foundational NLP problem focused on learning the probability structure of language sequences in order to predict next or missing units.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/language-modeling","slug":"language-modeling","lang":"en","title":"Language Modeling","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:48:03.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.669Z","tags":["Language Modeling","LLM","Sequence Probability","NLP"]}},{"page_content":"# Lasso Regresyon\n\n**Definition:** Katsayıları sıfıra iterek hem düzenlileştirme hem de özellik seçimi yapabilen L1 tabanlı regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lasso-regression","slug":"lasso-regression","lang":"tr","title":"Lasso Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:58:56.794Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.043Z","tags":["Lasso","L1","Feature Selection","Sparse Models"]}},{"page_content":"# Lasso Regression\n\n**Definition:** An L1-based regression method that can perform both regularization and feature selection by driving coefficients to zero.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lasso-regression","slug":"lasso-regression","lang":"en","title":"Lasso Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:58:56.794Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.043Z","tags":["Lasso","L1","Feature Selection","Sparse Models"]}},{"page_content":"# Geç Veri Mutabakatı\n\n**Definition:** Sonradan gelen verilerin geçmiş batch çıktılarıyla uyumlu hale getirilmesini sağlayan düzeltme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/late-data-reconciliation","slug":"late-data-reconciliation","lang":"tr","title":"Geç Veri Mutabakatı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:21.753Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.247Z","tags":["Reconciliation","Late Data","Batch","Correctness"]}},{"page_content":"# Late Data Reconciliation\n\n**Definition:** A correction process that brings late-arriving data into alignment with previously produced batch outputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/late-data-reconciliation","slug":"late-data-reconciliation","lang":"en","title":"Late Data Reconciliation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:21.753Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.247Z","tags":["Reconciliation","Late Data","Batch","Correctness"]}},{"page_content":"# Geç Etkileşimli Embedding\n\n**Definition:** Sorgu ve belgeyi tek vektöre sıkıştırmak yerine token düzeyinde etkileşimle eşleştiren retrieval yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/late-interaction-embeddings","slug":"late-interaction-embeddings","lang":"tr","title":"Geç Etkileşimli Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:31.071Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.472Z","tags":["Late Interaction","Retrieval","Embeddings","Search"]}},{"page_content":"# Late-Interaction Embeddings\n\n**Definition:** A retrieval approach that matches queries and documents through token-level interaction instead of compressing each into a single vector.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/late-interaction-embeddings","slug":"late-interaction-embeddings","lang":"en","title":"Late-Interaction Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:31.071Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.472Z","tags":["Late Interaction","Retrieval","Embeddings","Search"]}},{"page_content":"# Latent Manifold\n\n**Definition:** Verinin düşük boyutlu ve anlamlı yapısının latent uzayda düzenli bir manifold olarak temsil edilmesi fikri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/latent-manifold","slug":"latent-manifold","lang":"tr","title":"Latent Manifold","category":"derin-ogrenme","updatedAt":"2026-06-27T23:44:44.100Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.156Z","tags":["Latent Manifold","Representation Learning","Autoencoders","Geometry"]}},{"page_content":"# Latent Manifold\n\n**Definition:** The idea that meaningful low-dimensional structure of data is represented as a regular manifold in latent space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/latent-manifold","slug":"latent-manifold","lang":"en","title":"Latent Manifold","category":"derin-ogrenme","updatedAt":"2026-06-27T23:44:44.100Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.156Z","tags":["Latent Manifold","Representation Learning","Autoencoders","Geometry"]}},{"page_content":"# Gizil Uzay\n\n**Definition:** Modelin veriyi daha soyut, sıkıştırılmış ve anlamlı biçimde temsil ettiği içsel gösterim alanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/latent-space","slug":"latent-space","lang":"tr","title":"Gizil Uzay","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:00:24.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.002Z","tags":["Latent Space","Temsil","Üretken AI","Soyutlama"]}},{"page_content":"# Latent Space\n\n**Definition:** The internal representational space in which a model encodes data in a more abstract, compressed, and meaningful way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/latent-space","slug":"latent-space","lang":"en","title":"Latent Space","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:00:24.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.002Z","tags":["Latent Space","Temsil","Üretken AI","Soyutlama"]}},{"page_content":"# Latent Uzay İnterpolasyonu\n\n**Definition:** Latent temsil noktaları arasında geçiş yaparak modelin öğrendiği yapının sürekliliğini inceleme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/latent-space-interpolation","slug":"latent-space-interpolation","lang":"tr","title":"Latent Uzay İnterpolasyonu","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:03.711Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.641Z","tags":["Latent Space","Interpolation","Generative Models","Autoencoders"]}},{"page_content":"# Latent Space Interpolation\n\n**Definition:** A technique for exploring the continuity of learned structure by moving between points in latent representation space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/latent-space-interpolation","slug":"latent-space-interpolation","lang":"en","title":"Latent Space Interpolation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:03.711Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.641Z","tags":["Latent Space","Interpolation","Generative Models","Autoencoders"]}},{"page_content":"# Layer Normalization\n\n**Definition:** Aktivasyonları örnek bazında normalize ederek özellikle sekans modellerinde daha kararlı eğitim sağlayan teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/layer-normalization","slug":"layer-normalization","lang":"tr","title":"Layer Normalization","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:17.914Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.079Z","tags":["Layer Normalization","Transformers","Training Stability","Normalization"]}},{"page_content":"# Layer Normalization\n\n**Definition:** A technique that normalizes activations at the sample level and provides more stable training especially in sequence models.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/layer-normalization","slug":"layer-normalization","lang":"en","title":"Layer Normalization","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:17.914Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.079Z","tags":["Layer Normalization","Transformers","Training Stability","Normalization"]}},{"page_content":"# Belge Yerleşim Analizi\n\n**Definition:** Belgedeki başlık, paragraf, tablo, görsel ve alan bloklarını yapısal olarak ayıran Document AI görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/layout-analysis","slug":"layout-analysis","lang":"tr","title":"Belge Yerleşim Analizi","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:10.556Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.967Z","tags":["Layout Analysis","Document AI","OCR","Structured Documents"]}},{"page_content":"# Layout Analysis\n\n**Definition:** A Document AI task that structurally separates titles, paragraphs, tables, images, and layout blocks in a document.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/layout-analysis","slug":"layout-analysis","lang":"en","title":"Layout Analysis","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:10.556Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.967Z","tags":["Layout Analysis","Document AI","OCR","Structured Documents"]}},{"page_content":"# Sızıntı Duyarlı Özellik Mühendisliği\n\n**Definition:** Özellik üretimini zaman, hedef ve operasyonel kullanım sınırlarını koruyacak şekilde tasarlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/leakage-aware-feature-engineering","slug":"leakage-aware-feature-engineering","lang":"tr","title":"Sızıntı Duyarlı Özellik Mühendisliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:33.479Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.142Z","tags":["Leakage-Aware Features","Feature Engineering","Production ML","Data Leakage"]}},{"page_content":"# Leakage-Aware Feature Engineering\n\n**Definition:** An approach to feature creation that preserves time, target, and operational usage boundaries to avoid leakage.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/leakage-aware-feature-engineering","slug":"leakage-aware-feature-engineering","lang":"en","title":"Leakage-Aware Feature Engineering","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:33.479Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.142Z","tags":["Leakage-Aware Features","Feature Engineering","Production ML","Data Leakage"]}},{"page_content":"# Leaky ReLU\n\n**Definition:** Negatif bölgede küçük ama sıfır olmayan eğim bırakarak dying ReLU sorununu hafifletmeye çalışan aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/leaky-relu","slug":"leaky-relu","lang":"tr","title":"Leaky ReLU","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:07.508Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.846Z","tags":["Leaky ReLU","Activation Function","Optimization","ReLU Variants"]}},{"page_content":"# Leaky ReLU\n\n**Definition:** An activation function that leaves a small nonzero slope in the negative region to alleviate the dying ReLU problem.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/leaky-relu","slug":"leaky-relu","lang":"en","title":"Leaky ReLU","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:07.508Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.846Z","tags":["Leaky ReLU","Activation Function","Optimization","ReLU Variants"]}},{"page_content":"# Lemmatization\n\n**Definition:** Kelimeyi dilbilgisel bilgisini dikkate alarak sözlükteki temel formuna indirgeme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lemmatization","slug":"lemmatization","lang":"tr","title":"Lemmatization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:06.603Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.696Z","tags":["Lemmatization","Morphology","Linguistics","Preprocessing"]}},{"page_content":"# Lemmatization\n\n**Definition:** The process of reducing a word to its dictionary base form while considering grammatical information.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lemmatization","slug":"lemmatization","lang":"en","title":"Lemmatization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:06.603Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.696Z","tags":["Lemmatization","Morphology","Linguistics","Preprocessing"]}},{"page_content":"# LightGBM\n\n**Definition:** Büyük ölçekli tabular veri problemlerinde hızlı ve verimli boosting performansı sunan ağaç tabanlı yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lightgbm","slug":"lightgbm","lang":"tr","title":"LightGBM","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:20.920Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.572Z","tags":["LightGBM","Boosting","Tabular ML","Efficiency"]}},{"page_content":"# LightGBM\n\n**Definition:** A tree-based method that delivers fast and efficient boosting performance on large-scale tabular problems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lightgbm","slug":"lightgbm","lang":"en","title":"LightGBM","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:20.920Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.572Z","tags":["LightGBM","Boosting","Tabular ML","Efficiency"]}},{"page_content":"# Likelihood\n\n**Definition:** Belirli bir model parametresi altında gözlenen verinin ne kadar olası olduğunu ifade eden istatistiksel kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/likelihood","slug":"likelihood","lang":"tr","title":"Likelihood","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:53:35.151Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.311Z","tags":["Likelihood","MLE","Statistical Modeling","Inference"]}},{"page_content":"# Likelihood\n\n**Definition:** A statistical concept expressing how probable the observed data is under a given model parameter setting.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/likelihood","slug":"likelihood","lang":"en","title":"Likelihood","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:53:35.151Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.311Z","tags":["Likelihood","MLE","Statistical Modeling","Inference"]}},{"page_content":"# Adım Arama (Line Search)\n\n**Definition:** Optimizasyonda seçilen yön boyunca ne kadar ilerlenmesi gerektiğini belirleyen adım seçimi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/line-search","slug":"line-search","lang":"tr","title":"Adım Arama (Line Search)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:38.614Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.065Z","tags":["Line Search","Optimization","Step Size","Convergence"]}},{"page_content":"# Line Search\n\n**Definition:** An optimization step-size selection approach that determines how far to move along a chosen direction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/line-search","slug":"line-search","lang":"en","title":"Line Search","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:38.614Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.065Z","tags":["Line Search","Optimization","Step Size","Convergence"]}},{"page_content":"# Lineage Tamlığı\n\n**Definition:** Lineage bilgisinin veri akışındaki tüm kritik adımları ve bağımlılıkları kapsama düzeyini ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lineage-completeness","slug":"lineage-completeness","lang":"tr","title":"Lineage Tamlığı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:45.679Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.238Z","tags":["Lineage Completeness","Coverage","Traceability","Governance"]}},{"page_content":"# Lineage Completeness\n\n**Definition:** A quality dimension describing how fully lineage information covers all critical steps and dependencies in the data flow.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lineage-completeness","slug":"lineage-completeness","lang":"en","title":"Lineage Completeness","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:45.679Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.238Z","tags":["Lineage Completeness","Coverage","Traceability","Governance"]}},{"page_content":"# Lineage Güven Skoru\n\n**Definition:** Otomatik veya yarı otomatik çıkarılmış lineage bilgisinin güvenilirlik düzeyini ifade eden kalite göstergesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lineage-confidence-score","slug":"lineage-confidence-score","lang":"tr","title":"Lineage Güven Skoru","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:02.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.005Z","tags":["Confidence Score","Automated Lineage","Metadata","Quality"]}},{"page_content":"# Lineage Confidence Score\n\n**Definition:** A quality indicator that expresses the reliability level of automatically or semi-automatically inferred lineage information.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lineage-confidence-score","slug":"lineage-confidence-score","lang":"en","title":"Lineage Confidence Score","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:02.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.005Z","tags":["Confidence Score","Automated Lineage","Metadata","Quality"]}},{"page_content":"# Lineage Tabanlı Erişim Etkisi\n\n**Definition:** Bir veri varlığındaki erişim yetkisi değişikliğinin bağlı veri ürünleri ve tüketici sistemler üzerindeki etkisini analiz eden yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lineage-driven-access-impact","slug":"lineage-driven-access-impact","lang":"tr","title":"Lineage Tabanlı Erişim Etkisi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:09.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.185Z","tags":["Access Impact","Security","Lineage","Governance"]}},{"page_content":"# Lineage-Driven Access Impact\n\n**Definition:** An approach that analyzes the impact of access permission changes on connected data products and consumer systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lineage-driven-access-impact","slug":"lineage-driven-access-impact","lang":"en","title":"Lineage-Driven Access Impact","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:09.104Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.185Z","tags":["Access Impact","Security","Lineage","Governance"]}},{"page_content":"# Lineage-Metadata Senkronizasyonu\n\n**Definition:** Metadata tanımları ile lineage ilişkilerinin birbiriyle tutarlı ve güncel kalmasını sağlayan senkronizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lineage-metadata-sync","slug":"lineage-metadata-sync","lang":"tr","title":"Lineage-Metadata Senkronizasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:28.051Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.978Z","tags":["Metadata Sync","Lineage","Catalog","Governance"]}},{"page_content":"# Lineage-Metadata Sync\n\n**Definition:** A synchronization approach that keeps metadata definitions and lineage relationships consistent and up to date.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lineage-metadata-sync","slug":"lineage-metadata-sync","lang":"en","title":"Lineage-Metadata Sync","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:28.051Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.978Z","tags":["Metadata Sync","Lineage","Catalog","Governance"]}},{"page_content":"# Lineage Mutabakatı\n\n**Definition:** Farklı lineage kaynaklarından gelen iz bilgilerinin birbiriyle tutarlı hale getirilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lineage-reconciliation","slug":"lineage-reconciliation","lang":"tr","title":"Lineage Mutabakatı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:19.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.500Z","tags":["Lineage Reconciliation","Metadata","Consistency","Governance"]}},{"page_content":"# Lineage Reconciliation\n\n**Definition:** The process of reconciling trace information coming from different lineage sources into a consistent view.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lineage-reconciliation","slug":"lineage-reconciliation","lang":"en","title":"Lineage Reconciliation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:19.354Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.500Z","tags":["Lineage Reconciliation","Metadata","Consistency","Governance"]}},{"page_content":"# Linear Attention\n\n**Definition:** Attention hesaplamasını daha ölçeklenebilir hale getirmek için karmaşıklığı yaklaşık doğrusal düzeye indirmeyi hedefleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/linear-attention","slug":"linear-attention","lang":"tr","title":"Linear Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:45.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.430Z","tags":["Linear Attention","Scalability","Long Sequences","Transformers"]}},{"page_content":"# Linear Attention\n\n**Definition:** An approach that aims to make attention computation more scalable by reducing complexity to an approximately linear form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/linear-attention","slug":"linear-attention","lang":"en","title":"Linear Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:45.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.430Z","tags":["Linear Attention","Scalability","Long Sequences","Transformers"]}},{"page_content":"# Doğrusal Diskriminant Analizi\n\n**Definition:** Sınıfları en iyi ayıran doğrusal projeksiyonları bulmaya çalışan istatistiksel sınıflandırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/linear-discriminant-analysis","slug":"linear-discriminant-analysis","lang":"tr","title":"Doğrusal Diskriminant Analizi","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:06.840Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.960Z","tags":["LDA","Classification","Statistical Learning","Projection"]}},{"page_content":"# Linear Discriminant Analysis\n\n**Definition:** A statistical classification method that seeks linear projections that best separate classes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/linear-discriminant-analysis","slug":"linear-discriminant-analysis","lang":"en","title":"Linear Discriminant Analysis","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:06.840Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.960Z","tags":["LDA","Classification","Statistical Learning","Projection"]}},{"page_content":"# Doğrusal Regresyon\n\n**Definition:** Bağımsız değişkenlerle hedef değişken arasındaki doğrusal ilişkiyi modelleyen temel regresyon algoritması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/linear-regression","slug":"linear-regression","lang":"tr","title":"Doğrusal Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:04.419Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:46.870Z","tags":["Regression","Interpretable ML","Baseline Model","Statistics"]}},{"page_content":"# Linear Regression\n\n**Definition:** A fundamental regression algorithm that models the linear relationship between input variables and a target variable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/linear-regression","slug":"linear-regression","lang":"en","title":"Linear Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:04.419Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:46.870Z","tags":["Regression","Interpretable ML","Baseline Model","Statistics"]}},{"page_content":"# Bağlantı Tahmini\n\n**Definition:** Grafik yapısında mevcut olmayan ama oluşma olasılığı yüksek kenarları tahmin etmeye yönelik görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/link-prediction","slug":"link-prediction","lang":"tr","title":"Bağlantı Tahmini","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:10.306Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.912Z","tags":["Link Prediction","GNN","Knowledge Graphs","Relational Inference"]}},{"page_content":"# Link Prediction\n\n**Definition:** A task aimed at predicting edges that are not currently present in a graph but are likely to exist.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/link-prediction","slug":"link-prediction","lang":"en","title":"Link Prediction","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:10.306Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.912Z","tags":["Link Prediction","GNN","Knowledge Graphs","Relational Inference"]}},{"page_content":"# Yükleme Penceresi\n\n**Definition:** Bir yükleme sürecinin hangi zaman aralığındaki veriyi kapsadığını ve ne zaman çalıştığını tanımlayan sınır yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/load-window","slug":"load-window","lang":"tr","title":"Yükleme Penceresi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:20:59.896Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.478Z","tags":["Load Window","Scheduling","ETL","Data Scope"]}},{"page_content":"# Load Window\n\n**Definition:** A boundary structure that defines which time range a load process covers and when it runs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/load-window","slug":"load-window","lang":"en","title":"Load Window","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:20:59.896Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.478Z","tags":["Load Window","Scheduling","ETL","Data Scope"]}},{"page_content":"# Yerel Özellik Eşleme\n\n**Definition:** Farklı görüntülerdeki benzer yerel noktaları eşleştirerek hizalama, kayıt ve 3B çıkarım sağlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/local-feature-matching","slug":"local-feature-matching","lang":"tr","title":"Yerel Özellik Eşleme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:46.526Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.035Z","tags":["Local Feature Matching","Geometry","Image Registration","3D Vision"]}},{"page_content":"# Local Feature Matching\n\n**Definition:** A task that matches similar local points across images to enable alignment, registration, and 3D inference.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/local-feature-matching","slug":"local-feature-matching","lang":"en","title":"Local Feature Matching","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:46.526Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.035Z","tags":["Local Feature Matching","Geometry","Image Registration","3D Vision"]}},{"page_content":"# Local Outlier Factor\n\n**Definition:** Bir noktanın yerel yoğunluğunu komşularıyla karşılaştırarak aykırılık seviyesini ölçen yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/local-outlier-factor","slug":"local-outlier-factor","lang":"tr","title":"Local Outlier Factor","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:59:10.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.410Z","tags":["LOF","Anomaly Detection","Density","Outliers"]}},{"page_content":"# Local Outlier Factor\n\n**Definition:** A method that measures outlierness by comparing a point's local density to that of its neighbors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/local-outlier-factor","slug":"local-outlier-factor","lang":"en","title":"Local Outlier Factor","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:59:10.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.410Z","tags":["LOF","Anomaly Detection","Density","Outliers"]}},{"page_content":"# Log Loss\n\n**Definition:** Sınıflandırma modellerinin olasılık tahmin kalitesini ölçen ve yanlış güveni sert cezalandıran kayıp fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/log-loss","slug":"log-loss","lang":"tr","title":"Log Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:52.324Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.324Z","tags":["Log Loss","Classification","Probabilities","Calibration"]}},{"page_content":"# Log Loss\n\n**Definition:** A loss function that measures the quality of probabilistic classification predictions and strongly penalizes wrong confidence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/log-loss","slug":"log-loss","lang":"en","title":"Log Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:52.324Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.324Z","tags":["Log Loss","Classification","Probabilities","Calibration"]}},{"page_content":"# Log-Normal Dağılım\n\n**Definition:** Logaritması normal dağılan pozitif değişkenleri modellemek için kullanılan sağa çarpık sürekli dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/log-normal-dagilim","slug":"log-normal-dagilim","lang":"tr","title":"Log-Normal Dağılım","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:27.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.516Z","tags":["Log-Normal","Positive Variables","Transformation","Distribution"]}},{"page_content":"# Log-Normal Distribution\n\n**Definition:** A right-skewed continuous distribution used for positive variables whose logarithm is normally distributed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/log-normal-dagilim","slug":"log-normal-dagilim","lang":"en","title":"Log-Normal Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:27.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.516Z","tags":["Log-Normal","Positive Variables","Transformation","Distribution"]}},{"page_content":"# Lojistik Regresyon\n\n**Definition:** Sınıf olasılıklarını modellemek için logit fonksiyonunu kullanan temel sınıflandırma algoritması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/logistic-regression","slug":"logistic-regression","lang":"tr","title":"Lojistik Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:56:11.888Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.131Z","tags":["Classification","Probabilities","Interpretable ML","Baseline"]}},{"page_content":"# Logistic Regression\n\n**Definition:** A foundational classification algorithm that uses the logit function to model class probabilities.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/logistic-regression","slug":"logistic-regression","lang":"en","title":"Logistic Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:56:11.888Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.131Z","tags":["Classification","Probabilities","Interpretable ML","Baseline"]}},{"page_content":"# Uzun Kuyruklu Tanıma\n\n**Definition:** Bazı sınıfların çok bol, bazılarının ise çok az örneğe sahip olduğu dengesiz veri dağılımlarında güçlü tanıma yapmayı amaçlayan problem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/long-tailed-recognition","slug":"long-tailed-recognition","lang":"tr","title":"Uzun Kuyruklu Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:21.468Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.003Z","tags":["Long-Tailed Recognition","Imbalanced Data","Classification","Vision"]}},{"page_content":"# Long-Tailed Recognition\n\n**Definition:** A problem focused on strong recognition under imbalanced data distributions where some classes are abundant and others are scarce.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/long-tailed-recognition","slug":"long-tailed-recognition","lang":"en","title":"Long-Tailed Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:21.468Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.003Z","tags":["Long-Tailed Recognition","Imbalanced Data","Classification","Vision"]}},{"page_content":"# LoRA\n\n**Definition:** Ağırlık güncellemelerini düşük dereceli matrislerle temsil ederek verimli ince ayar sağlayan popüler PEFT yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lora","slug":"lora","lang":"tr","title":"LoRA","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:31:24.896Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.206Z","tags":["LoRA","PEFT","Fine-Tuning","Low-Rank Adaptation"]}},{"page_content":"# LoRA\n\n**Definition:** A popular PEFT method that enables efficient fine-tuning by representing weight updates with low-rank matrices.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lora","slug":"lora","lang":"en","title":"LoRA","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:31:24.896Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.206Z","tags":["LoRA","PEFT","Fine-Tuning","Low-Rank Adaptation"]}},{"page_content":"# LSTM\n\n**Definition:** Uzun dönem bağımlılıkları öğrenmek için kapı mekanizmaları kullanan gelişmiş tekrarlayan ağ yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/lstm","slug":"lstm","lang":"tr","title":"LSTM","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:26.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.325Z","tags":["LSTM","Sequence Learning","Long-Term Dependencies","Deep Learning"]}},{"page_content":"# LSTM\n\n**Definition:** An advanced recurrent architecture that uses gating mechanisms to learn long-term dependencies.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/lstm","slug":"lstm","lang":"en","title":"LSTM","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:26.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.325Z","tags":["LSTM","Sequence Learning","Long-Term Dependencies","Deep Learning"]}},{"page_content":"# Makine Öğrenmesi\n\n**Definition:** Sistemlerin açık kurallarla tek tek programlanmadan verilerden örüntü öğrenmesini sağlayan yapay zekâ alt alanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/makine-ogrenmesi","slug":"makine-ogrenmesi","lang":"tr","title":"Makine Öğrenmesi","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:48.775Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.724Z","tags":["ML","Veri","Tahmin","Algoritma"]}},{"page_content":"# Machine Learning\n\n**Definition:** A subfield of AI that enables systems to learn patterns from data without being explicitly programmed rule by rule.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/makine-ogrenmesi","slug":"makine-ogrenmesi","lang":"en","title":"Machine Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:46:48.775Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.724Z","tags":["ML","Veri","Tahmin","Algoritma"]}},{"page_content":"# Maksimum Aposteriori Kestirim (MAP)\n\n**Definition:** Veriyi açıklayan parametreleri seçerken önsel bilgiyi de hesaba katan Bayesçi kestirim yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/maksimum-aposteriori-kestirim","slug":"maksimum-aposteriori-kestirim","lang":"tr","title":"Maksimum Aposteriori Kestirim (MAP)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:45.743Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.145Z","tags":["MAP","Bayesian","Estimation","Prior"]}},{"page_content":"# Maximum A Posteriori Estimation (MAP)\n\n**Definition:** A Bayesian estimation approach that accounts for prior knowledge while selecting parameters that explain the data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/maksimum-aposteriori-kestirim","slug":"maksimum-aposteriori-kestirim","lang":"en","title":"Maximum A Posteriori Estimation (MAP)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:45.743Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.145Z","tags":["MAP","Bayesian","Estimation","Prior"]}},{"page_content":"# Maksimum Olabilirlik Kestirimi (MLE)\n\n**Definition:** Gözlenen veriyi en olası kılan parametreleri seçmeye dayanan temel istatistiksel kestirim yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/maksimum-olabilirlik-kestirimi","slug":"maksimum-olabilirlik-kestirimi","lang":"tr","title":"Maksimum Olabilirlik Kestirimi (MLE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:57.474Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.052Z","tags":["MLE","Likelihood","Estimation","Statistical Modeling"]}},{"page_content":"# Maximum Likelihood Estimation (MLE)\n\n**Definition:** A fundamental statistical estimation method based on selecting the parameters that make the observed data most likely.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/maksimum-olabilirlik-kestirimi","slug":"maksimum-olabilirlik-kestirimi","lang":"en","title":"Maximum Likelihood Estimation (MLE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:57.474Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.052Z","tags":["MLE","Likelihood","Estimation","Statistical Modeling"]}},{"page_content":"# Mann-Whitney U Testi\n\n**Definition:** İki bağımsız grubun dağılımlarını parametrik varsayımlar olmadan karşılaştırmak için kullanılan test.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mann-whitney-u-testi","slug":"mann-whitney-u-testi","lang":"tr","title":"Mann-Whitney U Testi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:26.190Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.881Z","tags":["Mann-Whitney","Nonparametric","Testing","Small Sample"]}},{"page_content":"# Mann-Whitney U Test\n\n**Definition:** A test used to compare two independent groups without relying on strong parametric assumptions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mann-whitney-u-testi","slug":"mann-whitney-u-testi","lang":"en","title":"Mann-Whitney U Test","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:26.190Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.881Z","tags":["Mann-Whitney","Nonparametric","Testing","Small Sample"]}},{"page_content":"# Markov Özelliği\n\n**Definition:** Bir sistemin geleceğinin, geçmişin tamamından değil yalnızca mevcut durumundan bağımlı olduğunu ifade eden özellik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/markov-ozelligi","slug":"markov-ozelligi","lang":"tr","title":"Markov Özelliği","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:43.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.962Z","tags":["Markov Property","Probability","Sequential Modeling","RL"]}},{"page_content":"# Markov Property\n\n**Definition:** A property stating that a system’s future depends only on its current state, not on the full past history.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/markov-ozelligi","slug":"markov-ozelligi","lang":"en","title":"Markov Property","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:43.257Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.962Z","tags":["Markov Property","Probability","Sequential Modeling","RL"]}},{"page_content":"# Maske Tabanlı Konuşma İyileştirme\n\n**Definition:** Zaman-frekans temsili üzerinde konuşma bileşenlerini koruyup gürültüyü bastırmak için maske tahmini yapan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mask-based-speech-enhancement","slug":"mask-based-speech-enhancement","lang":"tr","title":"Maske Tabanlı Konuşma İyileştirme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:43.386Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.778Z","tags":["Mask-Based Enhancement","Speech Enhancement","Spectrogram","Noise Reduction"]}},{"page_content":"# Mask-Based Speech Enhancement\n\n**Definition:** An approach that predicts masks over time-frequency representations to preserve speech components while suppressing noise.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mask-based-speech-enhancement","slug":"mask-based-speech-enhancement","lang":"en","title":"Mask-Based Speech Enhancement","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:43.386Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.778Z","tags":["Mask-Based Enhancement","Speech Enhancement","Spectrogram","Noise Reduction"]}},{"page_content":"# Maske İyileştirme\n\n**Definition:** İlk segmentasyon çıktısını sınır kalitesi ve detay düzeyi açısından daha hassas hale getiren düzeltme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mask-refinement","slug":"mask-refinement","lang":"tr","title":"Maske İyileştirme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:52:56.947Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.572Z","tags":["Mask Refinement","Segmentation","Boundary Quality","Post-Processing"]}},{"page_content":"# Mask Refinement\n\n**Definition:** A refinement process that improves an initial segmentation output in terms of boundary quality and detail precision.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mask-refinement","slug":"mask-refinement","lang":"en","title":"Mask Refinement","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:52:56.947Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.572Z","tags":["Mask Refinement","Segmentation","Boundary Quality","Post-Processing"]}},{"page_content":"# Masked Language Modeling\n\n**Definition:** Girdideki bazı tokenları gizleyip bunları bağlamdan tahmin etmeye dayanan ön eğitim hedefi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/masked-language-modeling","slug":"masked-language-modeling","lang":"tr","title":"Masked Language Modeling","category":"derin-ogrenme","updatedAt":"2026-06-27T22:59:09.978Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.095Z","tags":["Masked Language Modeling","Pretraining","BERT","Representation Learning"]}},{"page_content":"# Masked Language Modeling\n\n**Definition:** A pretraining objective based on masking some input tokens and predicting them from context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/masked-language-modeling","slug":"masked-language-modeling","lang":"en","title":"Masked Language Modeling","category":"derin-ogrenme","updatedAt":"2026-06-27T22:59:09.978Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.095Z","tags":["Masked Language Modeling","Pretraining","BERT","Representation Learning"]}},{"page_content":"# Master Data Management\n\n**Definition:** Müşteri, ürün, tedarikçi gibi temel kurumsal varlıkların tekilleştirilmiş ve tutarlı biçimde yönetilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/master-data-management","slug":"master-data-management","lang":"tr","title":"Master Data Management","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:54:41.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.475Z","tags":["MDM","Master Data","Enterprise Data","Consistency"]}},{"page_content":"# Master Data Management\n\n**Definition:** An approach for managing core enterprise entities such as customers, products, and suppliers in a unified and consistent way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/master-data-management","slug":"master-data-management","lang":"en","title":"Master Data Management","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:54:41.182Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.475Z","tags":["MDM","Master Data","Enterprise Data","Consistency"]}},{"page_content":"# Matris\n\n**Definition:** Sayıların satır ve sütunlar halinde düzenlendiği, dönüşüm ve veri temsilinde merkezi rol oynayan yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/matris","slug":"matris","lang":"tr","title":"Matris","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:05.801Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.751Z","tags":["Matrix","Veri Temsili","Dönüşüm","Derin Öğrenme"]}},{"page_content":"# Matrix\n\n**Definition:** A structure of numbers arranged in rows and columns, central to data representation and transformations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/matris","slug":"matris","lang":"en","title":"Matrix","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:05.801Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.751Z","tags":["Matrix","Veri Temsili","Dönüşüm","Derin Öğrenme"]}},{"page_content":"# Matris Faktörizasyonu\n\n**Definition:** Kullanıcı-öğe etkileşim matrisini gizli faktörlere ayırarak öneri üreten güçlü modelleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/matrix-factorization","slug":"matrix-factorization","lang":"tr","title":"Matris Faktörizasyonu","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:27.535Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.687Z","tags":["Matrix Factorization","Recommendation","Latent Factors","Collaborative Filtering"]}},{"page_content":"# Matrix Factorization\n\n**Definition:** A powerful recommendation approach that generates suggestions by decomposing the user-item interaction matrix into latent factors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/matrix-factorization","slug":"matrix-factorization","lang":"en","title":"Matrix Factorization","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:27.535Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.687Z","tags":["Matrix Factorization","Recommendation","Latent Factors","Collaborative Filtering"]}},{"page_content":"# McNemar Testi\n\n**Definition:** Aynı örnekler üzerinde iki sınıflandırıcının hata davranışlarını karşılaştırmak için kullanılan test.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mcnemar-testi","slug":"mcnemar-testi","lang":"tr","title":"McNemar Testi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:26.227Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.973Z","tags":["McNemar Test","Model Comparison","Classification","Paired Test"]}},{"page_content":"# McNemar Test\n\n**Definition:** A test used to compare the error behavior of two classifiers on the same set of examples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mcnemar-testi","slug":"mcnemar-testi","lang":"en","title":"McNemar Test","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:26.227Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:50.973Z","tags":["McNemar Test","Model Comparison","Classification","Paired Test"]}},{"page_content":"# Mean Average Precision\n\n**Definition:** Nesne tespiti performansını sınıflar ve eşik seviyeleri üzerinden özetleyen temel değerlendirme metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mean-average-precision","slug":"mean-average-precision","lang":"tr","title":"Mean Average Precision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:41.238Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.022Z","tags":["mAP","Evaluation","Object Detection","Metrics"]}},{"page_content":"# Mean Average Precision\n\n**Definition:** A core evaluation metric that summarizes object detection performance across classes and threshold settings.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mean-average-precision","slug":"mean-average-precision","lang":"en","title":"Mean Average Precision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:41.238Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.022Z","tags":["mAP","Evaluation","Object Detection","Metrics"]}},{"page_content":"# Mean Shift\n\n**Definition:** Yoğunluk modlarını arayarak kümeleri bulan ve küme sayısını önceden gerektirmeyen kümeleme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mean-shift","slug":"mean-shift","lang":"tr","title":"Mean Shift","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:03.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.230Z","tags":["Mean Shift","Clustering","Density Estimation","Unsupervised Learning"]}},{"page_content":"# Mean Shift\n\n**Definition:** A clustering method that discovers clusters by seeking density modes and does not require the number of clusters in advance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mean-shift","slug":"mean-shift","lang":"en","title":"Mean Shift","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:48:03.789Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.230Z","tags":["Mean Shift","Clustering","Density Estimation","Unsupervised Learning"]}},{"page_content":"# Medallion Mimarisi\n\n**Definition:** Ham veriden güvenilir analitik veriye ilerleyen katmanlı veri işleme modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/medallion-architecture","slug":"medallion-architecture","lang":"tr","title":"Medallion Mimarisi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:09.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.100Z","tags":["Medallion","Bronze Silver Gold","Lakehouse","Data Quality"]}},{"page_content":"# Medallion Architecture\n\n**Definition:** A layered data-processing model that progresses from raw data toward reliable analytical data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/medallion-architecture","slug":"medallion-architecture","lang":"en","title":"Medallion Architecture","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:09.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.100Z","tags":["Medallion","Bronze Silver Gold","Lakehouse","Data Quality"]}},{"page_content":"# Mel Spektrogram\n\n**Definition:** Ses sinyalini insan işitme algısına daha yakın frekans ölçeğinde zaman-frekans temsiline dönüştüren yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mel-spectrogram","slug":"mel-spectrogram","lang":"tr","title":"Mel Spektrogram","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:44:55.433Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.590Z","tags":["Mel Spectrogram","Audio Features","Speech Processing","Signal Representation"]}},{"page_content":"# Mel Spectrogram\n\n**Definition:** A time-frequency representation that maps audio into a frequency scale closer to human auditory perception.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mel-spectrogram","slug":"mel-spectrogram","lang":"en","title":"Mel Spectrogram","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:44:55.433Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.590Z","tags":["Mel Spectrogram","Audio Features","Speech Processing","Signal Representation"]}},{"page_content":"# Birleştirme Politikası\n\n**Definition:** Yeni ve mevcut kayıtlar çakıştığında hangi kaydın hangi kurala göre korunacağını tanımlayan yükleme mantığı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/merge-policy","slug":"merge-policy","lang":"tr","title":"Birleştirme Politikası","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:45.509Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.300Z","tags":["Merge Policy","Data Integration","Conflict Resolution","ETL"]}},{"page_content":"# Merge Policy\n\n**Definition:** A loading logic that defines which record should be preserved under which rule when incoming and existing records conflict.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/merge-policy","slug":"merge-policy","lang":"en","title":"Merge Policy","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:45.509Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.300Z","tags":["Merge Policy","Data Integration","Conflict Resolution","ETL"]}},{"page_content":"# Mesaj Geçişli Sinir Ağı\n\n**Definition:** Düğümler arasında mesaj alışverişi mantığıyla grafik yapıda bilgi güncellemesi yapan genel GNN çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/message-passing-neural-network","slug":"message-passing-neural-network","lang":"tr","title":"Mesaj Geçişli Sinir Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:00.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:20.016Z","tags":["MPNN","Graph Neural Networks","Message Passing","Structured Data"]}},{"page_content":"# Message Passing Neural Network\n\n**Definition:** A general GNN framework that updates information over graphs through message exchange among nodes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/message-passing-neural-network","slug":"message-passing-neural-network","lang":"en","title":"Message Passing Neural Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:00.547Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:20.016Z","tags":["MPNN","Graph Neural Networks","Message Passing","Structured Data"]}},{"page_content":"# Metadata\n\n**Definition:** Veri hakkında veri niteliği taşıyan tanım, kaynak, kullanım ve teknik yapı bilgileri bütünü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata","slug":"metadata","lang":"tr","title":"Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:30:26.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.635Z","tags":["Metadata","Data Discovery","Governance","Context"]}},{"page_content":"# Metadata\n\n**Definition:** The body of descriptive, source, usage, and technical information that exists about data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata","slug":"metadata","lang":"en","title":"Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:30:26.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.635Z","tags":["Metadata","Data Discovery","Governance","Context"]}},{"page_content":"# Vektör Aramada Metadata Filtreleme\n\n**Definition:** Vektör benzerliği sonuçlarını tarih, kaynak, kullanıcı veya kategori gibi ek alanlarla daraltma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata-filtering-in-vector-search","slug":"metadata-filtering-in-vector-search","lang":"tr","title":"Vektör Aramada Metadata Filtreleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:31.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.855Z","tags":["Metadata Filtering","Vector Search","Context","Enterprise AI"]}},{"page_content":"# Metadata Filtering in Vector Search\n\n**Definition:** An approach that narrows vector similarity results using additional fields such as date, source, user, or category.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata-filtering-in-vector-search","slug":"metadata-filtering-in-vector-search","lang":"en","title":"Metadata Filtering in Vector Search","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:31.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.855Z","tags":["Metadata Filtering","Vector Search","Context","Enterprise AI"]}},{"page_content":"# Metadata Kalite Skoru\n\n**Definition:** Metadata'nın tamlık, güncellik, açıklık ve yönetişim düzeyini ölçmek için kullanılan kalite puanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata-quality-score","slug":"metadata-quality-score","lang":"tr","title":"Metadata Kalite Skoru","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:56.762Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.166Z","tags":["Metadata Quality","Catalog","Governance","Score"]}},{"page_content":"# Metadata Quality Score\n\n**Definition:** A quality score used to measure the completeness, freshness, clarity, and governance maturity of metadata.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata-quality-score","slug":"metadata-quality-score","lang":"en","title":"Metadata Quality Score","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:56.762Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.166Z","tags":["Metadata Quality","Catalog","Governance","Score"]}},{"page_content":"# Metadata Registry\n\n**Definition:** Metadata nesnelerinin standart, yönetilebilir ve erişilebilir biçimde saklandığı merkezi kayıt yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata-registry","slug":"metadata-registry","lang":"tr","title":"Metadata Registry","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:44.937Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.977Z","tags":["Metadata Registry","Catalog","Governance","Data Discovery"]}},{"page_content":"# Metadata Registry\n\n**Definition:** A central registry where metadata objects are stored in a standardized, governable, and accessible form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata-registry","slug":"metadata-registry","lang":"en","title":"Metadata Registry","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:44.937Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.977Z","tags":["Metadata Registry","Catalog","Governance","Data Discovery"]}},{"page_content":"# Metadata Versiyonlama\n\n**Definition:** Metadata tanımlarının zaman içindeki değişimlerini izlenebilir sürümler halinde saklama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata-versioning","slug":"metadata-versioning","lang":"tr","title":"Metadata Versiyonlama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:54.155Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.802Z","tags":["Metadata Versioning","Governance","History","Catalog"]}},{"page_content":"# Metadata Versioning\n\n**Definition:** An approach that stores changes in metadata definitions as traceable versions over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata-versioning","slug":"metadata-versioning","lang":"en","title":"Metadata Versioning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:54.155Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.802Z","tags":["Metadata Versioning","Governance","History","Catalog"]}},{"page_content":"# Metadata Yönetimi\n\n**Definition:** Veri hakkında veri niteliğindeki tanım, kaynak, kullanım ve teknik yapı bilgilerinin sistematik yönetimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metadata-yonetimi","slug":"metadata-yonetimi","lang":"tr","title":"Metadata Yönetimi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:58:52.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.163Z","tags":["Metadata","Data Catalog","Governance","Documentation"]}},{"page_content":"# Metadata Management\n\n**Definition:** The systematic management of descriptions, sources, usage, and technical structure information about data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metadata-yonetimi","slug":"metadata-yonetimi","lang":"en","title":"Metadata Management","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:58:52.903Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.163Z","tags":["Metadata","Data Catalog","Governance","Documentation"]}},{"page_content":"# Görüde Metric Learning\n\n**Definition:** Benzer örnekleri aynı gömme uzayında yakınlaştırıp farklı örnekleri ayırarak karşılaştırma temelli görsel sistemler kuran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/metric-learning-for-vision","slug":"metric-learning-for-vision","lang":"tr","title":"Görüde Metric Learning","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:43:10.860Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.942Z","tags":["Metric Learning","Embeddings","Similarity","Visual Retrieval"]}},{"page_content":"# Metric Learning for Vision\n\n**Definition:** An approach that builds comparison-based visual systems by bringing similar examples closer and separating different ones in embedding space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/metric-learning-for-vision","slug":"metric-learning-for-vision","lang":"en","title":"Metric Learning for Vision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:43:10.860Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.942Z","tags":["Metric Learning","Embeddings","Similarity","Visual Retrieval"]}},{"page_content":"# MFCC\n\n**Definition:** Konuşma sinyalinin spektral zarfını insan işitmesine yakın biçimde özetleyen klasik akustik özellik temsili.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mfcc","slug":"mfcc","lang":"tr","title":"MFCC","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:56:14.032Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.681Z","tags":["MFCC","Speech Features","Signal Processing","Classical Audio"]}},{"page_content":"# MFCC\n\n**Definition:** A classical acoustic feature representation that summarizes the spectral envelope of speech in a way aligned with human hearing.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mfcc","slug":"mfcc","lang":"en","title":"MFCC","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:56:14.032Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.681Z","tags":["MFCC","Speech Features","Signal Processing","Classical Audio"]}},{"page_content":"# Mini-Batch Gradyan İnişi\n\n**Definition:** Eğitim verisini küçük partilere bölerek hem verimlilik hem de kararlılık sağlayan yaygın optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mini-batch-gradyan-inisi","slug":"mini-batch-gradyan-inisi","lang":"tr","title":"Mini-Batch Gradyan İnişi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:03.701Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.138Z","tags":["Mini-Batch","Optimization","Deep Learning","Batch Size"]}},{"page_content":"# Mini-Batch Gradient Descent\n\n**Definition:** A widely used optimization approach that splits training data into small batches to balance efficiency and stability.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mini-batch-gradyan-inisi","slug":"mini-batch-gradyan-inisi","lang":"en","title":"Mini-Batch Gradient Descent","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:03.701Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.138Z","tags":["Mini-Batch","Optimization","Deep Learning","Batch Size"]}},{"page_content":"# Minimum Description Length (MDL)\n\n**Definition:** İyi modelin, veriyi en kısa ama yeterli biçimde açıklayan model olduğunu savunan bilgi teorisi ilkesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/minimum-description-length","slug":"minimum-description-length","lang":"tr","title":"Minimum Description Length (MDL)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T21:22:31.954Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.871Z","tags":["MDL","Model Selection","Compression","Information Theory"]}},{"page_content":"# Minimum Description Length (MDL)\n\n**Definition:** An information-theoretic principle stating that a good model is one that describes the data in the shortest sufficient way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/minimum-description-length","slug":"minimum-description-length","lang":"en","title":"Minimum Description Length (MDL)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T21:22:31.954Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.871Z","tags":["MDL","Model Selection","Compression","Information Theory"]}},{"page_content":"# Mish Aktivasyonu\n\n**Definition:** Yumuşak ve kendi içinde düzenli eğim yapısıyla dikkat çeken modern aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mish-activation","slug":"mish-activation","lang":"tr","title":"Mish Aktivasyonu","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:58.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.426Z","tags":["Mish","Activation Function","Smooth Nonlinearity","Optimization"]}},{"page_content":"# Mish Activation\n\n**Definition:** A modern activation function noted for its smooth shape and internally regular gradient behavior.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mish-activation","slug":"mish-activation","lang":"en","title":"Mish Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:58.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.426Z","tags":["Mish","Activation Function","Smooth Nonlinearity","Optimization"]}},{"page_content":"# Mixture of Experts\n\n**Definition:** Her girdide modelin yalnızca ilgili uzman alt ağlarını etkinleştirerek ölçek ve verimlilik sağlaması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mixture-of-experts","slug":"mixture-of-experts","lang":"tr","title":"Mixture of Experts","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:24.225Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.465Z","tags":["MoE","LLM","Scalability","Model Architecture"]}},{"page_content":"# Mixture of Experts\n\n**Definition:** An approach in which only relevant expert subnetworks are activated for each input to achieve scale and efficiency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mixture-of-experts","slug":"mixture-of-experts","lang":"en","title":"Mixture of Experts","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:24.225Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.465Z","tags":["MoE","LLM","Scalability","Model Architecture"]}},{"page_content":"# Uzman Karışımlı Transformer\n\n**Definition:** Her girdide tüm ağı değil seçili uzman alt ağları etkinleştirerek ölçek verimliliği sağlayan Transformer yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mixture-of-experts-transformer","slug":"mixture-of-experts-transformer","lang":"tr","title":"Uzman Karışımlı Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:47:58.033Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.239Z","tags":["MoE","Transformers","Scaling","Sparse Activation"]}},{"page_content":"# Mixture-of-Experts Transformer\n\n**Definition:** A Transformer approach that improves scaling efficiency by activating selected expert subnetworks rather than the full model on every input.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mixture-of-experts-transformer","slug":"mixture-of-experts-transformer","lang":"en","title":"Mixture-of-Experts Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:47:58.033Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.239Z","tags":["MoE","Transformers","Scaling","Sparse Activation"]}},{"page_content":"# Mixup\n\n**Definition:** Eğitim örneklerini ve etiketlerini karıştırarak modelin daha yumuşak karar sınırları öğrenmesini sağlayan veri temelli düzenlileştirme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mixup","slug":"mixup","lang":"tr","title":"Mixup","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:30.318Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.839Z","tags":["Mixup","Regularization","Data Augmentation","Generalization"]}},{"page_content":"# Mixup\n\n**Definition:** A data-driven regularization technique that mixes training examples and labels so the model learns smoother decision boundaries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mixup","slug":"mixup","lang":"en","title":"Mixup","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:30.318Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.839Z","tags":["Mixup","Regularization","Data Augmentation","Generalization"]}},{"page_content":"# Mode Collapse\n\n**Definition:** Sentetik veri üreten modelin dağılımdaki çeşitliliği kaybedip sınırlı türde örnekler üretmesi problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/mode-collapse","slug":"mode-collapse","lang":"tr","title":"Mode Collapse","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:15.734Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.263Z","tags":["Mode Collapse","GAN","Synthetic Data Quality","Distribution Coverage"]}},{"page_content":"# Mode Collapse\n\n**Definition:** A problem in synthetic data generation where the model loses distributional diversity and produces only limited types of samples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/mode-collapse","slug":"mode-collapse","lang":"en","title":"Mode Collapse","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:37:15.734Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.263Z","tags":["Mode Collapse","GAN","Synthetic Data Quality","Distribution Coverage"]}},{"page_content":"# Model\n\n**Definition:** Girdi ile çıktı arasındaki ilişkiyi öğrenen ve bu ilişkiyi yeni veriler üzerinde kullanan matematiksel veya algoritmik yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/model","slug":"model","lang":"tr","title":"Model","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:30:57.694Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.453Z","tags":["Model","Tahmin","Kalite","Genelleme"]}},{"page_content":"# Model\n\n**Definition:** A mathematical or algorithmic structure that learns the relationship between inputs and outputs and applies it to new data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/model","slug":"model","lang":"en","title":"Model","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:30:57.694Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.453Z","tags":["Model","Tahmin","Kalite","Genelleme"]}},{"page_content":"# Model Checkpoint\n\n**Definition:** Eğitimin belirli aşamalarında kaydedilen ve daha sonra yeniden kullanılabilen model durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/model-checkpoint","slug":"model-checkpoint","lang":"tr","title":"Model Checkpoint","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:37:17.093Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.896Z","tags":["Checkpoint","Training Lifecycle","Model Management","Foundation Models"]}},{"page_content":"# Model Checkpoint\n\n**Definition:** A saved model state captured at a certain stage of training and reusable later.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/model-checkpoint","slug":"model-checkpoint","lang":"en","title":"Model Checkpoint","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:37:17.093Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.896Z","tags":["Checkpoint","Training Lifecycle","Model Management","Foundation Models"]}},{"page_content":"# Model Lineage\n\n**Definition:** Bir makine öğrenmesi modelinin hangi veri, feature, kod sürümü ve eğitim akışıyla üretildiğini gösteren izleme yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/model-lineage","slug":"model-lineage","lang":"tr","title":"Model Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:58:28.629Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.274Z","tags":["Model Lineage","MLOps","Reproducibility","AI Governance"]}},{"page_content":"# Model Lineage\n\n**Definition:** A traceability structure that shows which data, features, code version, and training workflow produced a machine learning model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/model-lineage","slug":"model-lineage","lang":"en","title":"Model Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:58:28.629Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:25.274Z","tags":["Model Lineage","MLOps","Reproducibility","AI Governance"]}},{"page_content":"# Momentum\n\n**Definition:** Gradyan güncellemelerine geçmiş hareket yönünü ekleyerek optimizasyonu hızlandıran yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/momentum","slug":"momentum","lang":"tr","title":"Momentum","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:41.203Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.229Z","tags":["Momentum","Optimization","Convergence","Gradient Methods"]}},{"page_content":"# Momentum\n\n**Definition:** A method that speeds up optimization by incorporating the direction of past gradient updates.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/momentum","slug":"momentum","lang":"en","title":"Momentum","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:41.203Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.229Z","tags":["Momentum","Optimization","Convergence","Gradient Methods"]}},{"page_content":"# Monotonik Binning\n\n**Definition:** Sürekli değişkenleri hedefle düzenli yönlü ilişki koruyacak şekilde aralıklara ayıran özellik dönüştürme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/monotonic-binning","slug":"monotonic-binning","lang":"tr","title":"Monotonik Binning","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:02.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.041Z","tags":["Monotonic Binning","Scoring Models","Interpretability","Feature Engineering"]}},{"page_content":"# Monotonic Binning\n\n**Definition:** A feature transformation technique that bins continuous variables while preserving a monotonic relationship with the target.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/monotonic-binning","slug":"monotonic-binning","lang":"en","title":"Monotonic Binning","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:02.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.041Z","tags":["Monotonic Binning","Scoring Models","Interpretability","Feature Engineering"]}},{"page_content":"# Çok Kameralı Video Analitiği\n\n**Definition:** Birden fazla kamera akışını birlikte analiz ederek daha geniş sahne ve davranış anlayışı sağlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-camera-video-analytics","slug":"multi-camera-video-analytics","lang":"tr","title":"Çok Kameralı Video Analitiği","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:34.251Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.781Z","tags":["Multi-Camera","Video Analytics","Surveillance","Scene Understanding"]}},{"page_content":"# Multi-Camera Video Analytics\n\n**Definition:** An approach that jointly analyzes multiple camera streams to provide broader scene and behavior understanding.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-camera-video-analytics","slug":"multi-camera-video-analytics","lang":"en","title":"Multi-Camera Video Analytics","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:34.251Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.781Z","tags":["Multi-Camera","Video Analytics","Surveillance","Scene Understanding"]}},{"page_content":"# Multi-Head Attention\n\n**Definition:** Dikkat işlemini birden fazla alt uzayda paralel yürüterek farklı ilişki türlerini öğrenen yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-head-attention","slug":"multi-head-attention","lang":"tr","title":"Multi-Head Attention","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:45.841Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.884Z","tags":["Multi-Head Attention","Transformers","Representation Learning","Deep Learning"]}},{"page_content":"# Multi-Head Attention\n\n**Definition:** A structure that runs attention in parallel across multiple subspaces to learn different types of relationships.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-head-attention","slug":"multi-head-attention","lang":"en","title":"Multi-Head Attention","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:45.841Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.884Z","tags":["Multi-Head Attention","Transformers","Representation Learning","Deep Learning"]}},{"page_content":"# Çok Adımlı Soru Cevaplama\n\n**Definition:** Cevaba ulaşmak için birden fazla bilgi parçasını birleştirmeyi gerektiren soru cevaplama görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-hop-question-answering","slug":"multi-hop-question-answering","lang":"tr","title":"Çok Adımlı Soru Cevaplama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:01.807Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.094Z","tags":["Multi-Hop QA","Reasoning","Retrieval","Question Answering"]}},{"page_content":"# Multi-Hop Question Answering\n\n**Definition:** A question answering task that requires combining multiple pieces of information to arrive at an answer.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-hop-question-answering","slug":"multi-hop-question-answering","lang":"en","title":"Multi-Hop Question Answering","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:01.807Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.094Z","tags":["Multi-Hop QA","Reasoning","Retrieval","Question Answering"]}},{"page_content":"# Çok Etiketli Sınıflandırma\n\n**Definition:** Bir örneğin aynı anda birden fazla etikete ait olabildiği problemler için geliştirilen sınıflandırma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-label-classification","slug":"multi-label-classification","lang":"tr","title":"Çok Etiketli Sınıflandırma","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:07.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.846Z","tags":["Multi-Label Classification","Structured Outputs","Classification","Tagging"]}},{"page_content":"# Multi-Label Classification\n\n**Definition:** A classification approach designed for problems in which a single instance can belong to multiple labels at once.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-label-classification","slug":"multi-label-classification","lang":"en","title":"Multi-Label Classification","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:07.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.846Z","tags":["Multi-Label Classification","Structured Outputs","Classification","Tagging"]}},{"page_content":"# Çok Etiketli Görüntü Sınıflandırma\n\n**Definition:** Bir görüntünün aynı anda birden fazla sınıfa ait olabildiği daha gerçekçi sınıflandırma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-label-image-classification","slug":"multi-label-image-classification","lang":"tr","title":"Çok Etiketli Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:07.378Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.634Z","tags":["Multi-Label Classification","Vision","Scene Understanding","Image Tags"]}},{"page_content":"# Multi-Label Image Classification\n\n**Definition:** A more realistic classification problem in which an image can belong to multiple classes at the same time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-label-image-classification","slug":"multi-label-image-classification","lang":"en","title":"Multi-Label Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:07.378Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.634Z","tags":["Multi-Label Classification","Vision","Scene Understanding","Image Tags"]}},{"page_content":"# Çok Etiketli Metin Sınıflandırma\n\n**Definition:** Bir metnin aynı anda birden fazla kategoriye ait olabildiği sınıflandırma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-label-text-classification","slug":"multi-label-text-classification","lang":"tr","title":"Çok Etiketli Metin Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:37:09.653Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.110Z","tags":["Multi-Label Classification","Text Classification","Structured Outputs","NLP"]}},{"page_content":"# Multi-Label Text Classification\n\n**Definition:** A classification problem in which a text can belong to multiple categories at the same time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-label-text-classification","slug":"multi-label-text-classification","lang":"en","title":"Multi-Label Text Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:37:09.653Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.110Z","tags":["Multi-Label Classification","Text Classification","Structured Outputs","NLP"]}},{"page_content":"# Çoklu Nesne Takibi\n\n**Definition:** Bir videoda birden fazla nesnenin hem konumunu hem kimlik sürekliliğini zaman boyunca koruyan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multi-object-tracking","slug":"multi-object-tracking","lang":"tr","title":"Çoklu Nesne Takibi","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:17:34.302Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.964Z","tags":["MOT","Tracking","Identity Persistence","Video Analysis"]}},{"page_content":"# Multi-Object Tracking\n\n**Definition:** A task that maintains both localization and identity continuity for multiple objects over time in video.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multi-object-tracking","slug":"multi-object-tracking","lang":"en","title":"Multi-Object Tracking","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:17:34.302Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.964Z","tags":["MOT","Tracking","Identity Persistence","Video Analysis"]}},{"page_content":"# Çok Katmanlı Perceptron\n\n**Definition:** Birden fazla gizli katman içeren tam bağlantılı sinir ağı yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multilayer-perceptron","slug":"multilayer-perceptron","lang":"tr","title":"Çok Katmanlı Perceptron","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:28.816Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.567Z","tags":["MLP","Neural Networks","Hidden Layers","Deep Learning"]}},{"page_content":"# Multilayer Perceptron\n\n**Definition:** A fully connected neural network structure containing multiple hidden layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multilayer-perceptron","slug":"multilayer-perceptron","lang":"en","title":"Multilayer Perceptron","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:28.816Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.567Z","tags":["MLP","Neural Networks","Hidden Layers","Deep Learning"]}},{"page_content":"# Çok Dilli Cümle Embedding\n\n**Definition:** Farklı dillerdeki cümleleri ortak anlamsal uzayda temsil ederek çapraz dil eşleşmeyi mümkün kılan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multilingual-sentence-embeddings","slug":"multilingual-sentence-embeddings","lang":"tr","title":"Çok Dilli Cümle Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:32.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.294Z","tags":["Multilingual Embeddings","Cross-Lingual Search","Sentence Embeddings","NLP"]}},{"page_content":"# Multilingual Sentence Embeddings\n\n**Definition:** An approach that represents sentences from different languages in a shared semantic space, enabling cross-lingual matching.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multilingual-sentence-embeddings","slug":"multilingual-sentence-embeddings","lang":"en","title":"Multilingual Sentence Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:32.599Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.294Z","tags":["Multilingual Embeddings","Cross-Lingual Search","Sentence Embeddings","NLP"]}},{"page_content":"# Çok Modlu Duygu Analizi\n\n**Definition:** Ses, metin ve bazen yüz ifadesi gibi farklı sinyalleri birleştirerek daha güçlü duygu analizi yapan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multimodal-affect-analysis","slug":"multimodal-affect-analysis","lang":"tr","title":"Çok Modlu Duygu Analizi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:37:16.274Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.574Z","tags":["Multimodal Affect","Emotion AI","Audio-Text Fusion","Behavior Analytics"]}},{"page_content":"# Multimodal Affect Analysis\n\n**Definition:** An approach that performs stronger affect analysis by combining signals such as audio, text, and sometimes facial expression.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multimodal-affect-analysis","slug":"multimodal-affect-analysis","lang":"en","title":"Multimodal Affect Analysis","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:37:16.274Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.574Z","tags":["Multimodal Affect","Emotion AI","Audio-Text Fusion","Behavior Analytics"]}},{"page_content":"# Çok Modlu Grounding\n\n**Definition:** Dilsel ifadeleri görüntü içindeki doğru bölge, nesne veya görsel yapıyla eşleme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multimodal-grounding","slug":"multimodal-grounding","lang":"tr","title":"Çok Modlu Grounding","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:26.318Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.866Z","tags":["Grounding","Multimodal AI","Vision-Language","Region Understanding"]}},{"page_content":"# Multimodal Grounding\n\n**Definition:** The process of aligning linguistic expressions with the correct region, object, or visual structure in an image.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multimodal-grounding","slug":"multimodal-grounding","lang":"en","title":"Multimodal Grounding","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:26.318Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.866Z","tags":["Grounding","Multimodal AI","Vision-Language","Region Understanding"]}},{"page_content":"# Çok Modlu Talimat İnce Ayarı\n\n**Definition:** Görüntü ve metin girdilerini doğal dil talimatlarıyla birlikte yorumlayabilen çok modlu modeller geliştiren ince ayar süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multimodal-instruction-tuning","slug":"multimodal-instruction-tuning","lang":"tr","title":"Çok Modlu Talimat İnce Ayarı","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:33.870Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.843Z","tags":["Multimodal Instruction Tuning","VLM","Assistants","Multimodal AI"]}},{"page_content":"# Multimodal Instruction Tuning\n\n**Definition:** A fine-tuning process that develops multimodal models capable of interpreting image and text inputs together with natural language instructions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multimodal-instruction-tuning","slug":"multimodal-instruction-tuning","lang":"en","title":"Multimodal Instruction Tuning","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:33.870Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.843Z","tags":["Multimodal Instruction Tuning","VLM","Assistants","Multimodal AI"]}},{"page_content":"# Görü İçin Çok Modlu RAG\n\n**Definition:** Görsel girdileri dış bilgi kaynaklarıyla birleştirerek daha dayanaklı ve bağlamlı çok modlu yanıtlar üreten mimari yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multimodal-rag-for-vision","slug":"multimodal-rag-for-vision","lang":"tr","title":"Görü İçin Çok Modlu RAG","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:59.015Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.941Z","tags":["Multimodal RAG","Vision-Language","Grounded AI","Visual Assistants"]}},{"page_content":"# Multimodal RAG for Vision\n\n**Definition:** An architectural approach that combines visual inputs with external knowledge sources to produce more grounded multimodal answers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multimodal-rag-for-vision","slug":"multimodal-rag-for-vision","lang":"en","title":"Multimodal RAG for Vision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:59.015Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.941Z","tags":["Multimodal RAG","Vision-Language","Grounded AI","Visual Assistants"]}},{"page_content":"# Multimodal Transformer\n\n**Definition:** Metin, görsel, ses veya video gibi farklı veri türlerini ortak attention mimarisi içinde işleyen model tasarımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/multimodal-transformer","slug":"multimodal-transformer","lang":"tr","title":"Multimodal Transformer","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:59:11.164Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.420Z","tags":["Multimodal Transformer","Attention","Foundation Models","Generative AI"]}},{"page_content":"# Multimodal Transformer\n\n**Definition:** A model design that processes different data types such as text, images, audio, or video within a shared attention architecture.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/multimodal-transformer","slug":"multimodal-transformer","lang":"en","title":"Multimodal Transformer","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:59:11.164Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.420Z","tags":["Multimodal Transformer","Attention","Foundation Models","Generative AI"]}},{"page_content":"# Müzik Etiketleme\n\n**Definition:** Bir müzik kaydına tür, enstrüman, ruh hali veya stil gibi birden fazla anlamsal etiket atama görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/music-tagging","slug":"music-tagging","lang":"tr","title":"Müzik Etiketleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:40.095Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.945Z","tags":["Music Tagging","Audio Classification","Recommendation","Media AI"]}},{"page_content":"# Music Tagging\n\n**Definition:** A task that assigns multiple semantic tags such as genre, instrument, mood, or style to a music recording.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/music-tagging","slug":"music-tagging","lang":"en","title":"Music Tagging","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:40.095Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.945Z","tags":["Music Tagging","Audio Classification","Recommendation","Media AI"]}},{"page_content":"# Naive Bayes\n\n**Definition:** Özellikler arasında koşullu bağımsızlık varsayımıyla çalışan hızlı ve olasılıksal sınıflandırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/naive-bayes","slug":"naive-bayes","lang":"tr","title":"Naive Bayes","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:20.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.043Z","tags":["Naive Bayes","Probabilistic Models","Text Classification","Bayesian Methods"]}},{"page_content":"# Naive Bayes\n\n**Definition:** A fast probabilistic classification method that operates under a conditional independence assumption among features.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/naive-bayes","slug":"naive-bayes","lang":"en","title":"Naive Bayes","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:20.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.043Z","tags":["Naive Bayes","Probabilistic Models","Text Classification","Bayesian Methods"]}},{"page_content":"# Ad Öbeği Tanıma\n\n**Definition:** Metin içindeki kişi, kurum, yer, tarih ve benzeri varlık öbeklerini tanıma görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/named-entity-recognition","slug":"named-entity-recognition","lang":"tr","title":"Ad Öbeği Tanıma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:06.222Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.661Z","tags":["NER","Information Extraction","Entities","NLP"]}},{"page_content":"# Named Entity Recognition\n\n**Definition:** The task of recognizing entity spans such as people, organizations, locations, and dates within text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/named-entity-recognition","slug":"named-entity-recognition","lang":"en","title":"Named Entity Recognition","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:06.222Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.661Z","tags":["NER","Information Extraction","Entities","NLP"]}},{"page_content":"# Namespace İzolasyonu\n\n**Definition:** Vektör koleksiyonlarını kullanım amacı, müşteri veya güvenlik sınırına göre mantıksal olarak ayıran yapı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/namespace-isolation","slug":"namespace-isolation","lang":"tr","title":"Namespace İzolasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:04.852Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.883Z","tags":["Namespace Isolation","Multi-Tenant","Security","Vector Database"]}},{"page_content":"# Namespace Isolation\n\n**Definition:** A structure that logically separates vector collections by use case, tenant, or security boundary.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/namespace-isolation","slug":"namespace-isolation","lang":"en","title":"Namespace Isolation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:04.852Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.883Z","tags":["Namespace Isolation","Multi-Tenant","Security","Vector Database"]}},{"page_content":"# Doğal Dil Çıkarımı\n\n**Definition:** Bir önermenin başka bir ifadeyi destekleyip desteklemediğini, çelişip çelişmediğini veya ilişkisiz olup olmadığını belirleyen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/natural-language-inference","slug":"natural-language-inference","lang":"tr","title":"Doğal Dil Çıkarımı","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:28.869Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.820Z","tags":["NLI","Entailment","Reasoning","Semantic Understanding"]}},{"page_content":"# Natural Language Inference\n\n**Definition:** A task that determines whether one statement entails, contradicts, or is neutral with respect to another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/natural-language-inference","slug":"natural-language-inference","lang":"en","title":"Natural Language Inference","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:42:28.869Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.820Z","tags":["NLI","Entailment","Reasoning","Semantic Understanding"]}},{"page_content":"# Komşuluk Toplama\n\n**Definition:** Bir düğümün komşularından bilgi toplayarak temsilini güncellemesini sağlayan temel GNN işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/neighborhood-aggregation","slug":"neighborhood-aggregation","lang":"tr","title":"Komşuluk Toplama","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:52.725Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.522Z","tags":["Neighborhood Aggregation","GNN","Message Passing","Graph Learning"]}},{"page_content":"# Neighborhood Aggregation\n\n**Definition:** The core GNN operation by which a node updates its representation by collecting information from its neighbors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/neighborhood-aggregation","slug":"neighborhood-aggregation","lang":"en","title":"Neighborhood Aggregation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:52.725Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.522Z","tags":["Neighborhood Aggregation","GNN","Message Passing","Graph Learning"]}},{"page_content":"# İç İçe NER\n\n**Definition:** Bir varlık öbeğinin başka bir varlık öbeğini kapsayabildiği daha karmaşık NER problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/nested-ner","slug":"nested-ner","lang":"tr","title":"İç İçe NER","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:23.606Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.839Z","tags":["Nested NER","Entities","Span Modeling","Information Extraction"]}},{"page_content":"# Nested NER\n\n**Definition:** A more complex NER problem in which one entity span can contain another entity span.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/nested-ner","slug":"nested-ner","lang":"en","title":"Nested NER","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:23.606Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.839Z","tags":["Nested NER","Entities","Span Modeling","Information Extraction"]}},{"page_content":"# Nöral Makine Çevirisi\n\n**Definition:** Kaynak dildeki sekansı hedef dilde anlam ve akıcılığı koruyarak üretmeye odaklanan modern çeviri yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/neural-machine-translation","slug":"neural-machine-translation","lang":"tr","title":"Nöral Makine Çevirisi","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:38.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.660Z","tags":["NMT","Machine Translation","Transformers","Multilingual NLP"]}},{"page_content":"# Neural Machine Translation\n\n**Definition:** A modern translation approach focused on generating target-language sequences while preserving meaning and fluency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/neural-machine-translation","slug":"neural-machine-translation","lang":"en","title":"Neural Machine Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:38.685Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.660Z","tags":["NMT","Machine Translation","Transformers","Multilingual NLP"]}},{"page_content":"# Neural Tangent Kernel\n\n**Definition:** Çok geniş sinir ağlarının eğitim dinamiklerini çekirdek yöntemleriyle ilişkilendiren teorik çerçeve.","metadata":{"source":"https://sukruyusufkaya.com/glossary/neural-tangent-kernel","slug":"neural-tangent-kernel","lang":"tr","title":"Neural Tangent Kernel","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:24.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.249Z","tags":["NTK","Theory","Wide Networks","Kernel Methods"]}},{"page_content":"# Neural Tangent Kernel\n\n**Definition:** A theoretical framework that connects the training dynamics of very wide neural networks with kernel methods.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/neural-tangent-kernel","slug":"neural-tangent-kernel","lang":"en","title":"Neural Tangent Kernel","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:24.899Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.249Z","tags":["NTK","Theory","Wide Networks","Kernel Methods"]}},{"page_content":"# Nöral Metinden Konuşmaya\n\n**Definition:** Metni daha doğal, akıcı ve insan benzeri konuşmaya dönüştürmek için derin öğrenme kullanan sentez yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/neural-text-to-speech","slug":"neural-text-to-speech","lang":"tr","title":"Nöral Metinden Konuşmaya","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:00.777Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.456Z","tags":["Neural TTS","Speech Synthesis","Voice AI","Audio Generation"]}},{"page_content":"# Neural Text-to-Speech\n\n**Definition:** A synthesis approach that uses deep learning to convert text into more natural, fluent, and human-like speech.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/neural-text-to-speech","slug":"neural-text-to-speech","lang":"en","title":"Neural Text-to-Speech","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:00.777Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.456Z","tags":["Neural TTS","Speech Synthesis","Voice AI","Audio Generation"]}},{"page_content":"# Newton Yöntemi\n\n**Definition:** Fonksiyonun hem eğim hem eğrilik bilgisini kullanarak daha hızlı yakınsama hedefleyen ileri optimizasyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/newton-yontemi","slug":"newton-yontemi","lang":"tr","title":"Newton Yöntemi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.898Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.766Z","tags":["Newton's Method","Second Order","Optimization","Hessian"]}},{"page_content":"# Newton's Method\n\n**Definition:** An advanced optimization method that uses both slope and curvature information to aim for faster convergence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/newton-yontemi","slug":"newton-yontemi","lang":"en","title":"Newton's Method","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.898Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.766Z","tags":["Newton's Method","Second Order","Optimization","Hessian"]}},{"page_content":"# Düğüm Sınıflandırma\n\n**Definition:** Grafik üzerindeki her düğüm için etiket tahmini yapmaya odaklanan temel GNN görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/node-classification","slug":"node-classification","lang":"tr","title":"Düğüm Sınıflandırma","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:30.739Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.246Z","tags":["Node Classification","GNN","Graphs","Structured Learning"]}},{"page_content":"# Node Classification\n\n**Definition:** A core GNN task focused on predicting a label for each node in a graph.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/node-classification","slug":"node-classification","lang":"en","title":"Node Classification","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:30.739Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.246Z","tags":["Node Classification","GNN","Graphs","Structured Learning"]}},{"page_content":"# Noktasal Çarpım\n\n**Definition:** İki vektör arasındaki hizalanmayı ve büyüklük etkileşimini ölçen temel lineer cebir işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/noktasal-carpim","slug":"noktasal-carpim","lang":"tr","title":"Noktasal Çarpım","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:46.306Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.938Z","tags":["Dot Product","Vektör","Benzerlik","Attention"]}},{"page_content":"# Dot Product\n\n**Definition:** A core linear algebra operation that measures alignment and magnitude interaction between two vectors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/noktasal-carpim","slug":"noktasal-carpim","lang":"en","title":"Dot Product","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:46.306Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.938Z","tags":["Dot Product","Vektör","Benzerlik","Attention"]}},{"page_content":"# Otokorelasyonsuz TTS\n\n**Definition:** Konuşmayı adım adım değil daha paralel biçimde üreterek sentez hızını artıran TTS yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/non-autoregressive-tts","slug":"non-autoregressive-tts","lang":"tr","title":"Otokorelasyonsuz TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:57.333Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.205Z","tags":["Non-Autoregressive TTS","Fast Speech","Low Latency","Speech Synthesis"]}},{"page_content":"# Non-Autoregressive TTS\n\n**Definition:** A TTS approach that increases synthesis speed by generating speech more in parallel rather than step by step.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/non-autoregressive-tts","slug":"non-autoregressive-tts","lang":"en","title":"Non-Autoregressive TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:57.333Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.205Z","tags":["Non-Autoregressive TTS","Fast Speech","Low Latency","Speech Synthesis"]}},{"page_content":"# Non-Maximum Suppression\n\n**Definition:** Aynı nesne için üretilen fazla sayıdaki örtüşen kutuyu filtreleyerek daha temiz tespit çıktısı oluşturan işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/non-maximum-suppression","slug":"non-maximum-suppression","lang":"tr","title":"Non-Maximum Suppression","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:21.889Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.917Z","tags":["NMS","Object Detection","Post-Processing","Bounding Boxes"]}},{"page_content":"# Non-Maximum Suppression\n\n**Definition:** An operation that filters overlapping boxes produced for the same object in order to create cleaner detection output.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/non-maximum-suppression","slug":"non-maximum-suppression","lang":"en","title":"Non-Maximum Suppression","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:21.889Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.917Z","tags":["NMS","Object Detection","Post-Processing","Bounding Boxes"]}},{"page_content":"# Negatif Olmayan Matris Faktörizasyonu\n\n**Definition:** Negatif olmayan veri yapılarında parçalı ve yorumlanabilir temsiller üreten boyut indirgeme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/non-negative-matrix-factorization","slug":"non-negative-matrix-factorization","lang":"tr","title":"Negatif Olmayan Matris Faktörizasyonu","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:44.551Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.498Z","tags":["NMF","Dimensionality Reduction","Interpretability","Representation Learning"]}},{"page_content":"# Non-negative Matrix Factorization\n\n**Definition:** A dimensionality reduction technique that produces part-based and interpretable representations in non-negative data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/non-negative-matrix-factorization","slug":"non-negative-matrix-factorization","lang":"en","title":"Non-negative Matrix Factorization","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:44.551Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.498Z","tags":["NMF","Dimensionality Reduction","Interpretability","Representation Learning"]}},{"page_content":"# Normal Dağılım\n\n**Definition:** Çan eğrisi biçimiyle tanınan ve istatistikte en yaygın kullanılan sürekli dağılımlardan biri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/normal-dagilim","slug":"normal-dagilim","lang":"tr","title":"Normal Dağılım","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:33.023Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.045Z","tags":["Normal Distribution","Bell Curve","Statistics","CLT"]}},{"page_content":"# Normal Distribution\n\n**Definition:** One of the most widely used continuous distributions in statistics, known for its bell-shaped curve.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/normal-dagilim","slug":"normal-dagilim","lang":"en","title":"Normal Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:33.023Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.045Z","tags":["Normal Distribution","Bell Curve","Statistics","CLT"]}},{"page_content":"# Normalizasyon\n\n**Definition:** Sayısal değişkenleri belirli bir ölçeğe getirerek modelleme ve karşılaştırma için daha uygun hale getirme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/normalizasyon","slug":"normalizasyon","lang":"tr","title":"Normalizasyon","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:50.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.921Z","tags":["Normalization","Scaling","Preprocessing","Features"]}},{"page_content":"# Normalization\n\n**Definition:** The process of bringing numerical variables to a defined scale to make them more suitable for modeling and comparison.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/normalizasyon","slug":"normalizasyon","lang":"en","title":"Normalization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:50.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.921Z","tags":["Normalization","Scaling","Preprocessing","Features"]}},{"page_content":"# Örtülme Yönetimi\n\n**Definition:** Nesnenin kısmen veya tamamen görünmez olduğu anlarda takip ve algıyı sürdürmeye yönelik stratejiler bütünü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/occlusion-handling","slug":"occlusion-handling","lang":"tr","title":"Örtülme Yönetimi","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:28.746Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.324Z","tags":["Occlusion","Tracking Robustness","Video Analysis","Computer Vision"]}},{"page_content":"# Occlusion Handling\n\n**Definition:** A set of strategies aimed at maintaining detection and tracking when the object becomes partially or fully invisible.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/occlusion-handling","slug":"occlusion-handling","lang":"en","title":"Occlusion Handling","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:28.746Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.324Z","tags":["Occlusion","Tracking Robustness","Video Analysis","Computer Vision"]}},{"page_content":"# Ödül Fonksiyonu\n\n**Definition:** Sistemin hangi sonuçları daha değerli kabul edeceğini sayısal olarak tanımlayan geri bildirim mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/odul-fonksiyonu","slug":"odul-fonksiyonu","lang":"tr","title":"Ödül Fonksiyonu","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:54.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.186Z","tags":["Reward","RL","Davranış","Optimizasyon"]}},{"page_content":"# Reward Function\n\n**Definition:** A feedback mechanism that numerically defines which outcomes the system should consider more valuable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/odul-fonksiyonu","slug":"odul-fonksiyonu","lang":"en","title":"Reward Function","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:54.655Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.186Z","tags":["Reward","RL","Davranış","Optimizasyon"]}},{"page_content":"# Offline Feature Store\n\n**Definition:** Model eğitimi, backtesting ve batch feature üretimi için kullanılan tarihsel ve hacimli feature depolama katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/offline-feature-store","slug":"offline-feature-store","lang":"tr","title":"Offline Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:40.527Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.235Z","tags":["Offline Feature Store","Training Data","Backtesting","Reproducibility"]}},{"page_content":"# Offline Feature Store\n\n**Definition:** A historical and large-scale feature storage layer used for model training, backtesting, and batch feature generation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/offline-feature-store","slug":"offline-feature-store","lang":"en","title":"Offline Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:40.527Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.235Z","tags":["Offline Feature Store","Training Data","Backtesting","Reproducibility"]}},{"page_content":"# Öğrenme Oranı\n\n**Definition:** Model parametrelerinin her güncellemede ne kadar değişeceğini belirleyen temel hiperparametre.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ogrenme-orani","slug":"ogrenme-orani","lang":"tr","title":"Öğrenme Oranı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:22.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.243Z","tags":["Learning Rate","Hiperparametre","Optimizasyon","Eğitim"]}},{"page_content":"# Learning Rate\n\n**Definition:** A core hyperparameter that determines how much model parameters change at each update step.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ogrenme-orani","slug":"ogrenme-orani","lang":"en","title":"Learning Rate","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:22.271Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.243Z","tags":["Learning Rate","Hiperparametre","Optimizasyon","Eğitim"]}},{"page_content":"# Olasılık\n\n**Definition:** Bir olayın gerçekleşme ihtimalini nicel olarak ifade eden temel matematiksel kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/olasilik","slug":"olasilik","lang":"tr","title":"Olasılık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:56:12.379Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.123Z","tags":["Probability","Belirsizlik","Temel","AI Matematiği"]}},{"page_content":"# Probability\n\n**Definition:** A fundamental mathematical concept that quantifies the likelihood of an event occurring.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/olasilik","slug":"olasilik","lang":"en","title":"Probability","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:56:12.379Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.123Z","tags":["Probability","Belirsizlik","Temel","AI Matematiği"]}},{"page_content":"# Tek Sınıf Sınıflandırma\n\n**Definition:** Azınlık sınıfın çok nadir olduğu durumlarda normal örüntüyü öğrenip sapmaları anormal kabul eden modelleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/one-class-classification","slug":"one-class-classification","lang":"tr","title":"Tek Sınıf Sınıflandırma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:54.639Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.623Z","tags":["One-Class Classification","Anomaly Detection","Rare Events","Imbalanced Data"]}},{"page_content":"# One-Class Classification\n\n**Definition:** A modeling approach that learns the normal pattern and treats deviations as anomalous when the minority class is extremely rare.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/one-class-classification","slug":"one-class-classification","lang":"en","title":"One-Class Classification","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:54.639Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.623Z","tags":["One-Class Classification","Anomaly Detection","Rare Events","Imbalanced Data"]}},{"page_content":"# One-Class SVM\n\n**Definition:** Normal sınıfı öğrenip bu sınırın dışındaki örnekleri anomali olarak değerlendiren yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/one-class-svm","slug":"one-class-svm","lang":"tr","title":"One-Class SVM","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:57:14.090Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.320Z","tags":["One-Class SVM","Anomaly Detection","Normality Modeling","Kernel Methods"]}},{"page_content":"# One-Class SVM\n\n**Definition:** A method that learns the normal class and treats observations outside that boundary as anomalies.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/one-class-svm","slug":"one-class-svm","lang":"en","title":"One-Class SVM","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:57:14.090Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.320Z","tags":["One-Class SVM","Anomaly Detection","Normality Modeling","Kernel Methods"]}},{"page_content":"# Tek Aşamalı Tespit Edici\n\n**Definition:** Nesne önerisi ve sınıflandırmayı tek ileri geçişte birleştirerek hızlı tespit yapan model ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/one-stage-detector","slug":"one-stage-detector","lang":"tr","title":"Tek Aşamalı Tespit Edici","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:50.202Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.465Z","tags":["One-Stage Detector","YOLO","Real-Time Detection","Computer Vision"]}},{"page_content":"# One-Stage Detector\n\n**Definition:** A family of models that performs fast detection by combining proposal generation and classification in a single forward pass.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/one-stage-detector","slug":"one-stage-detector","lang":"en","title":"One-Stage Detector","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:50.202Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.465Z","tags":["One-Stage Detector","YOLO","Real-Time Detection","Computer Vision"]}},{"page_content":"# Çevrim İçi Diarization\n\n**Definition:** Ses kaydı tamamlanmadan akış sırasında konuşmacı ayrıştırma yapan düşük gecikmeli diarization yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/online-diarization","slug":"online-diarization","lang":"tr","title":"Çevrim İçi Diarization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:43.924Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.957Z","tags":["Online Diarization","Streaming Audio","Meetings","Low Latency"]}},{"page_content":"# Online Diarization\n\n**Definition:** A low-latency diarization approach that performs speaker separation during streaming before the audio is complete.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/online-diarization","slug":"online-diarization","lang":"en","title":"Online Diarization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:43.924Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.957Z","tags":["Online Diarization","Streaming Audio","Meetings","Low Latency"]}},{"page_content":"# Online Feature Store\n\n**Definition:** Canlı tahmin anında düşük gecikmeyle özellik sunmak üzere optimize edilmiş feature store katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/online-feature-store","slug":"online-feature-store","lang":"tr","title":"Online Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:44.502Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.150Z","tags":["Online Feature Store","Low Latency","Serving","Real-Time ML"]}},{"page_content":"# Online Feature Store\n\n**Definition:** A feature store layer optimized for low-latency feature serving at live prediction time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/online-feature-store","slug":"online-feature-store","lang":"en","title":"Online Feature Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:41:44.502Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.150Z","tags":["Online Feature Store","Low Latency","Serving","Real-Time ML"]}},{"page_content":"# Açık Bilgi Çıkarımı\n\n**Definition:** Önceden tanımlı ilişki şemalarına bağlı kalmadan metinden özne-ilişki-nesne yapıları çıkaran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/open-information-extraction","slug":"open-information-extraction","lang":"tr","title":"Açık Bilgi Çıkarımı","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:07.351Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.556Z","tags":["Open IE","Information Extraction","Knowledge Graphs","NLP"]}},{"page_content":"# Open Information Extraction\n\n**Definition:** An approach that extracts subject-relation-object structures from text without relying on a predefined relation schema.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/open-information-extraction","slug":"open-information-extraction","lang":"en","title":"Open Information Extraction","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:07.351Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.556Z","tags":["Open IE","Information Extraction","Knowledge Graphs","NLP"]}},{"page_content":"# Açık Küme Tanıma\n\n**Definition:** Modelin eğitimde görmediği sınıfları yanlış güvenle etiketlemek yerine bilinmeyen olarak işaretleyebilmesini hedefleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/open-set-recognition","slug":"open-set-recognition","lang":"tr","title":"Açık Küme Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:22.941Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.826Z","tags":["Open-Set Recognition","Robust Classification","Unknown Classes","Vision"]}},{"page_content":"# Open-Set Recognition\n\n**Definition:** An approach that enables a model to flag unseen classes as unknown instead of assigning them an overconfident incorrect label.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/open-set-recognition","slug":"open-set-recognition","lang":"en","title":"Open-Set Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:22.941Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:44.826Z","tags":["Open-Set Recognition","Robust Classification","Unknown Classes","Vision"]}},{"page_content":"# Açık Tablo Formatı\n\n**Definition:** Büyük ölçekli veri gölü tablolarında sürümleme, transaction ve metadata yönetimini destekleyen açık standart tablo yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/open-table-format","slug":"open-table-format","lang":"tr","title":"Açık Tablo Formatı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:29.137Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.188Z","tags":["Open Table Format","Delta","Iceberg","Lakehouse"]}},{"page_content":"# Open Table Format\n\n**Definition:** An open-standard table structure that supports versioning, transactions, and metadata management for large-scale data lake tables.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/open-table-format","slug":"open-table-format","lang":"en","title":"Open Table Format","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:29.137Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.188Z","tags":["Open Table Format","Delta","Iceberg","Lakehouse"]}},{"page_content":"# Açık Kelime Dağarcıklı Tespit\n\n**Definition:** Sabit sınıf listeleri yerine doğal dil etiketleriyle daha geniş nesne dünyasını algılayabilen tespit yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/open-vocabulary-detection","slug":"open-vocabulary-detection","lang":"tr","title":"Açık Kelime Dağarcıklı Tespit","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:45:37.631Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.777Z","tags":["Open Vocabulary Detection","CLIP","Object Detection","Multimodal Vision"]}},{"page_content":"# Open-Vocabulary Detection\n\n**Definition:** A detection approach that can perceive a broader object world using natural language labels instead of fixed class lists.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/open-vocabulary-detection","slug":"open-vocabulary-detection","lang":"en","title":"Open-Vocabulary Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:45:37.631Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.777Z","tags":["Open Vocabulary Detection","CLIP","Object Detection","Multimodal Vision"]}},{"page_content":"# Açık Dünya Nesne Tespiti\n\n**Definition:** Modelin yalnızca bilinen nesneleri tespit etmekle kalmayıp bilinmeyen nesneleri de ayrı bir kategori olarak yönetebilmesini hedefleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/open-world-object-detection","slug":"open-world-object-detection","lang":"tr","title":"Açık Dünya Nesne Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:38:43.581Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.398Z","tags":["Open-World Detection","Unknown Objects","Detection","Robust Perception"]}},{"page_content":"# Open-World Object Detection\n\n**Definition:** An approach that aims for a model not only to detect known objects but also to handle unknown ones as a separate category.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/open-world-object-detection","slug":"open-world-object-detection","lang":"en","title":"Open-World Object Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:38:43.581Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.398Z","tags":["Open-World Detection","Unknown Objects","Detection","Robust Perception"]}},{"page_content":"# Operasyonel Metadata\n\n**Definition:** Veri akışlarının çalışma durumu, yenilenme zamanı, hata geçmişi ve işleme performansı gibi operasyonel bilgileri içeren metadata katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/operational-metadata","slug":"operational-metadata","lang":"tr","title":"Operasyonel Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:22.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.891Z","tags":["Operational Metadata","Observability","SLA","Pipeline Health"]}},{"page_content":"# Operational Metadata\n\n**Definition:** The metadata layer containing operational information such as run status, refresh timing, error history, and processing performance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/operational-metadata","slug":"operational-metadata","lang":"en","title":"Operational Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:22.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.891Z","tags":["Operational Metadata","Observability","SLA","Pipeline Health"]}},{"page_content":"# Optik Karakter Tanıma\n\n**Definition:** Görüntü veya belge içindeki yazıyı makine tarafından işlenebilir metne dönüştüren temel Document AI görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/optical-character-recognition","slug":"optical-character-recognition","lang":"tr","title":"Optik Karakter Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:52.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.788Z","tags":["OCR","Document AI","Text Extraction","Digitization"]}},{"page_content":"# Optical Character Recognition\n\n**Definition:** A core Document AI task that converts text within images or documents into machine-processable text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/optical-character-recognition","slug":"optical-character-recognition","lang":"en","title":"Optical Character Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:52.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.788Z","tags":["OCR","Document AI","Text Extraction","Digitization"]}},{"page_content":"# Optimizasyon\n\n**Definition:** Modelin performansını artırmak için parametrelerin amaç fonksiyonuna göre sistematik biçimde iyileştirilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/optimizasyon","slug":"optimizasyon","lang":"tr","title":"Optimizasyon","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T22:59:08.138Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.148Z","tags":["Optimization","Eğitim","Kayıp","Parametre"]}},{"page_content":"# Optimization\n\n**Definition:** The process of systematically improving model parameters according to an objective function in order to increase performance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/optimizasyon","slug":"optimizasyon","lang":"en","title":"Optimization","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T22:59:08.138Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.148Z","tags":["Optimization","Eğitim","Kayıp","Parametre"]}},{"page_content":"# Ordinal Sınıflandırma\n\n**Definition:** Sınıflar arasında doğal sıralama bulunan problemlerde bu düzen bilgisini kullanan sınıflandırma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ordinal-classification","slug":"ordinal-classification","lang":"tr","title":"Ordinal Sınıflandırma","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:56.407Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.665Z","tags":["Ordinal Classification","Ranking","Structured Labels","Classification"]}},{"page_content":"# Ordinal Classification\n\n**Definition:** A classification approach that leverages the natural ordering of classes in problems where labels have an intrinsic rank.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ordinal-classification","slug":"ordinal-classification","lang":"en","title":"Ordinal Classification","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:56.407Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.665Z","tags":["Ordinal Classification","Ranking","Structured Labels","Classification"]}},{"page_content":"# Yönelimli Nesne Tespiti\n\n**Definition:** Döndürülmüş veya eğik nesneleri eksen hizalı kutular yerine açılı kutularla tespit etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/oriented-object-detection","slug":"oriented-object-detection","lang":"tr","title":"Yönelimli Nesne Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:16.291Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.310Z","tags":["Oriented Detection","Rotated Boxes","Aerial Vision","Localization"]}},{"page_content":"# Oriented Object Detection\n\n**Definition:** A task focused on detecting rotated or tilted objects with angled boxes instead of axis-aligned boxes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/oriented-object-detection","slug":"oriented-object-detection","lang":"en","title":"Oriented Object Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:16.291Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.310Z","tags":["Oriented Detection","Rotated Boxes","Aerial Vision","Localization"]}},{"page_content":"# Örnekleme Çerçevesi\n\n**Definition:** Hangi birimlerin örnekleme sürecine dahil edilebileceğini tanımlayan kaynak liste veya kapsama yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ornekleme-cercevesi","slug":"ornekleme-cercevesi","lang":"tr","title":"Örnekleme Çerçevesi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:24.522Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.527Z","tags":["Sampling Frame","Bias","Representation","Data Collection"]}},{"page_content":"# Sampling Frame\n\n**Definition:** The source list or coverage structure that defines which units can enter the sampling process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ornekleme-cercevesi","slug":"ornekleme-cercevesi","lang":"en","title":"Sampling Frame","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:24.522Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.527Z","tags":["Sampling Frame","Bias","Representation","Data Collection"]}},{"page_content":"# Sahipsiz Varlık Tespiti\n\n**Definition:** Artık upstream veya downstream bağlantısı kalmamış veri varlıklarını belirlemeye yönelik lineage tabanlı kontrol süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/orphaned-asset-detection","slug":"orphaned-asset-detection","lang":"tr","title":"Sahipsiz Varlık Tespiti","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:52.265Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.915Z","tags":["Orphaned Assets","Lineage","Cleanup","Governance"]}},{"page_content":"# Orphaned Asset Detection\n\n**Definition:** A lineage-based control process for identifying data assets that no longer have meaningful upstream or downstream connections.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/orphaned-asset-detection","slug":"orphaned-asset-detection","lang":"en","title":"Orphaned Asset Detection","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:52.265Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.915Z","tags":["Orphaned Assets","Lineage","Cleanup","Governance"]}},{"page_content":"# Ortalama Kare Hata (MSE)\n\n**Definition:** Tahmin ile gerçek değer arasındaki farkın karesini alarak ortalayan yaygın regresyon kayıp fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ortalama-kare-hata","slug":"ortalama-kare-hata","lang":"tr","title":"Ortalama Kare Hata (MSE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:23.682Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.879Z","tags":["MSE","Regression","Loss Function","Optimization"]}},{"page_content":"# Mean Squared Error (MSE)\n\n**Definition:** A common regression loss function that averages the squared differences between predictions and true values.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ortalama-kare-hata","slug":"ortalama-kare-hata","lang":"en","title":"Mean Squared Error (MSE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:23.682Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.879Z","tags":["MSE","Regression","Loss Function","Optimization"]}},{"page_content":"# Ortalama, Medyan ve Mod\n\n**Definition:** Bir veri kümesinin merkezi eğilimini farklı bakış açılarıyla özetleyen temel istatistiksel ölçüler.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ortalama-medyan-mod","slug":"ortalama-medyan-mod","lang":"tr","title":"Ortalama, Medyan ve Mod","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:51.375Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.679Z","tags":["Mean","Median","Mode","Central Tendency"]}},{"page_content":"# Mean, Median, and Mode\n\n**Definition:** Fundamental statistical measures that summarize the central tendency of a dataset from different perspectives.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ortalama-medyan-mod","slug":"ortalama-medyan-mod","lang":"en","title":"Mean, Median, and Mode","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:51.375Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.679Z","tags":["Mean","Median","Mode","Central Tendency"]}},{"page_content":"# Ortalama Mutlak Hata (MAE)\n\n**Definition:** Tahmin ile gerçek değer arasındaki mutlak farkların ortalamasını alan, daha dayanıklı regresyon kayıp fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ortalama-mutlak-hata","slug":"ortalama-mutlak-hata","lang":"tr","title":"Ortalama Mutlak Hata (MAE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:48.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.967Z","tags":["MAE","Regression","Robustness","Loss Function"]}},{"page_content":"# Mean Absolute Error (MAE)\n\n**Definition:** A regression loss function that averages the absolute differences between predictions and true values, offering greater robustness.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ortalama-mutlak-hata","slug":"ortalama-mutlak-hata","lang":"en","title":"Mean Absolute Error (MAE)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:48.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.967Z","tags":["MAE","Regression","Robustness","Loss Function"]}},{"page_content":"# Ortogonallik\n\n**Definition:** İki vektörün birbirine dik olması ve doğrusal etkileşim taşımaması durumunu ifade eden kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/orthogonality","slug":"orthogonality","lang":"tr","title":"Ortogonallik","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:21.447Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.825Z","tags":["Orthogonality","Vectors","Projection","Numerical Stability"]}},{"page_content":"# Orthogonality\n\n**Definition:** A concept describing two vectors being perpendicular and carrying no linear interaction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/orthogonality","slug":"orthogonality","lang":"en","title":"Orthogonality","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:21.447Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.825Z","tags":["Orthogonality","Vectors","Projection","Numerical Stability"]}},{"page_content":"# Ortonormal Baz\n\n**Definition:** Hem birbirine dik hem de birim uzunlukta vektörlerden oluşan, hesaplamayı ve yorumu kolaylaştıran baz yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ortonormal-baz","slug":"ortonormal-baz","lang":"tr","title":"Ortonormal Baz","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:29.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.869Z","tags":["Orthonormal Basis","Orthogonality","PCA","Linear Algebra"]}},{"page_content":"# Orthonormal Basis\n\n**Definition:** A basis made of vectors that are mutually orthogonal and unit length, simplifying computation and interpretation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ortonormal-baz","slug":"ortonormal-baz","lang":"en","title":"Orthonormal Basis","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:29.519Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.869Z","tags":["Orthonormal Basis","Orthogonality","PCA","Linear Algebra"]}},{"page_content":"# Otonom Sistem\n\n**Definition:** Algılama, değerlendirme ve eylem üretme süreçlerini insan müdahalesi olmadan ya da sınırlı müdahaleyle yürütebilen sistem yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/otonom-sistem","slug":"otonom-sistem","lang":"tr","title":"Otonom Sistem","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:46.447Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.367Z","tags":["Otonom Sistem","Aksiyon","Kontrol","Güvenilirlik"]}},{"page_content":"# Autonomous System\n\n**Definition:** A system capable of handling perception, evaluation, and action generation with little or no human intervention.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/otonom-sistem","slug":"otonom-sistem","lang":"en","title":"Autonomous System","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:46.447Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.367Z","tags":["Otonom Sistem","Aksiyon","Kontrol","Güvenilirlik"]}},{"page_content":"# Aşırı Uyum (Overfitting)\n\n**Definition:** Modelin eğitim verisini gereğinden fazla öğrenerek yeni veriler üzerinde zayıf performans göstermesi durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/overfitting","slug":"overfitting","lang":"tr","title":"Aşırı Uyum (Overfitting)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T21:20:53.536Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.816Z","tags":["Overfitting","Genelleme","Model Riski","Değerlendirme"]}},{"page_content":"# Overfitting\n\n**Definition:** A situation where a model learns the training data too closely and performs poorly on new data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/overfitting","slug":"overfitting","lang":"en","title":"Overfitting","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T21:20:53.536Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.816Z","tags":["Overfitting","Genelleme","Model Riski","Değerlendirme"]}},{"page_content":"# Üst Üste Konuşma Tespiti\n\n**Definition:** Birden fazla konuşmacının aynı anda konuştuğu zaman aralıklarını belirlemeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/overlapped-speech-detection","slug":"overlapped-speech-detection","lang":"tr","title":"Üst Üste Konuşma Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:17.203Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.507Z","tags":["Overlap Detection","Diarization","Meetings","Speech Segmentation"]}},{"page_content":"# Overlapped Speech Detection\n\n**Definition:** A task focused on identifying time intervals in which multiple speakers talk simultaneously.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/overlapped-speech-detection","slug":"overlapped-speech-detection","lang":"en","title":"Overlapped Speech Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:59:17.203Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.507Z","tags":["Overlap Detection","Diarization","Meetings","Speech Segmentation"]}},{"page_content":"# Aşırı Parametreleme\n\n**Definition:** Modelin veri miktarına kıyasla çok yüksek parametre kapasitesine sahip olması durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/overparameterization","slug":"overparameterization","lang":"tr","title":"Aşırı Parametreleme","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:04.829Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:44.986Z","tags":["Overparameterization","Capacity","Generalization","Deep Learning Theory"]}},{"page_content":"# Overparameterization\n\n**Definition:** The condition in which a model has a parameter capacity far larger than the amount of available data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/overparameterization","slug":"overparameterization","lang":"en","title":"Overparameterization","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:04.829Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:44.986Z","tags":["Overparameterization","Capacity","Generalization","Deep Learning Theory"]}},{"page_content":"# Aşırı Örnekleme\n\n**Definition:** Az temsil edilen sınıfı veri kümesinde daha görünür hale getirmek için örnek sayısını artırma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/oversampling","slug":"oversampling","lang":"tr","title":"Aşırı Örnekleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:54:36.132Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.637Z","tags":["Oversampling","Imbalanced Data","Minority Class","Resampling"]}},{"page_content":"# Oversampling\n\n**Definition:** An approach that increases the number of minority-class examples to make them more visible in the dataset.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/oversampling","slug":"oversampling","lang":"en","title":"Oversampling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:54:36.132Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.637Z","tags":["Oversampling","Imbalanced Data","Minority Class","Resampling"]}},{"page_content":"# GNN'de Oversmoothing\n\n**Definition:** Çok fazla mesaj geçişi sonrası düğüm temsillerinin birbirine aşırı benzemesiyle ayrıştırma gücünün kaybolması sorunu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/oversmoothing-in-gnn","slug":"oversmoothing-in-gnn","lang":"tr","title":"GNN'de Oversmoothing","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:36.421Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:34.004Z","tags":["Oversmoothing","GNN","Deep Graph Learning","Representation Collapse"]}},{"page_content":"# Oversmoothing in GNN\n\n**Definition:** A problem in which node representations become too similar after excessive message passing, reducing discriminative power.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/oversmoothing-in-gnn","slug":"oversmoothing-in-gnn","lang":"en","title":"Oversmoothing in GNN","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:36.421Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:34.004Z","tags":["Oversmoothing","GNN","Deep Graph Learning","Representation Collapse"]}},{"page_content":"# Özdeğer ve Özvektör\n\n**Definition:** Bir lineer dönüşüm altında yalnızca ölçeklenip yönünü koruyan vektörler ve bunlara karşılık gelen ölçek katsayıları.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ozdeger-ve-ozvektor","slug":"ozdeger-ve-ozvektor","lang":"tr","title":"Özdeğer ve Özvektör","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.714Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.029Z","tags":["Eigenvalue","Eigenvector","PCA","Lineer Dönüşüm"]}},{"page_content":"# Eigenvalue and Eigenvector\n\n**Definition:** Vectors that preserve their direction under a linear transformation, along with the associated scaling factors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ozdeger-ve-ozvektor","slug":"ozdeger-ve-ozvektor","lang":"en","title":"Eigenvalue and Eigenvector","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.714Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.029Z","tags":["Eigenvalue","Eigenvector","PCA","Lineer Dönüşüm"]}},{"page_content":"# Özellik (Feature)\n\n**Definition:** Bir veri örneğini model açısından tanımlayan ölçülebilir nitelik veya giriş değişkeni.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ozellik","slug":"ozellik","lang":"tr","title":"Özellik (Feature)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T21:26:06.529Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.618Z","tags":["Feature","Girdi","Veri","Model"]}},{"page_content":"# Feature\n\n**Definition:** A measurable attribute or input variable that describes a data instance from the model’s perspective.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ozellik","slug":"ozellik","lang":"en","title":"Feature","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T21:26:06.529Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.618Z","tags":["Feature","Girdi","Veri","Model"]}},{"page_content":"# Özellik Mühendisliği\n\n**Definition:** Ham veriden model için daha anlamlı, ayırt edici ve kullanışlı özellikler üretme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ozellik-muhendisligi","slug":"ozellik-muhendisligi","lang":"tr","title":"Özellik Mühendisliği","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:21.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.710Z","tags":["Feature Engineering","Tabular Veri","Modelleme","Dönüşüm"]}},{"page_content":"# Feature Engineering\n\n**Definition:** The process of creating more meaningful, discriminative, and useful features from raw data for a model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ozellik-muhendisligi","slug":"ozellik-muhendisligi","lang":"en","title":"Feature Engineering","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:21.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.710Z","tags":["Feature Engineering","Tabular Veri","Modelleme","Dönüşüm"]}},{"page_content":"# Özellik Seçimi\n\n**Definition:** Model için en bilgilendirici değişkenleri seçerek gürültüyü, maliyeti ve karmaşıklığı azaltma süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ozellik-secimi","slug":"ozellik-secimi","lang":"tr","title":"Özellik Seçimi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:57.957Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.385Z","tags":["Feature Selection","Model Simplification","Interpretability","ML"]}},{"page_content":"# Feature Selection\n\n**Definition:** The process of selecting the most informative variables for a model in order to reduce noise, cost, and complexity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ozellik-secimi","slug":"ozellik-secimi","lang":"en","title":"Feature Selection","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:57.957Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.385Z","tags":["Feature Selection","Model Simplification","Interpretability","ML"]}},{"page_content":"# p-Değeri\n\n**Definition:** Sıfır hipotezi doğru kabul edildiğinde, gözlenen sonuç kadar uç veya daha uç bir sonucun görülme olasılığı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/p-degeri","slug":"p-degeri","lang":"tr","title":"p-Değeri","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:08.029Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.689Z","tags":["p-Value","Significance","Hypothesis Testing","Inference"]}},{"page_content":"# p-Value\n\n**Definition:** The probability of observing a result at least as extreme as the one obtained, assuming the null hypothesis is true.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/p-degeri","slug":"p-degeri","lang":"en","title":"p-Value","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:08.029Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.689Z","tags":["p-Value","Significance","Hypothesis Testing","Inference"]}},{"page_content":"# Paged Attention\n\n**Definition:** KV cache belleğini daha verimli yöneten ve çoklu istek servisinde kaynak kullanımını iyileştiren dikkat yönetimi tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/paged-attention","slug":"paged-attention","lang":"tr","title":"Paged Attention","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:40:23.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.737Z","tags":["Paged Attention","Serving","Memory Efficiency","LLM"]}},{"page_content":"# Paged Attention\n\n**Definition:** An attention-management technique that handles KV cache memory more efficiently and improves resource use under multi-request serving.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/paged-attention","slug":"paged-attention","lang":"en","title":"Paged Attention","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:40:23.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.737Z","tags":["Paged Attention","Serving","Memory Efficiency","LLM"]}},{"page_content":"# Panoptic Segmentasyon\n\n**Definition:** Hem sahne sınıflarını hem de ayrı nesne örneklerini tek çatı altında modelleyen birleşik segmentasyon görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/panoptic-segmentation","slug":"panoptic-segmentation","lang":"tr","title":"Panoptic Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:56.156Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.296Z","tags":["Panoptic Segmentation","Scene Parsing","Unified Vision","Autonomous Systems"]}},{"page_content":"# Panoptic Segmentation\n\n**Definition:** A unified segmentation task that models both scene classes and separate object instances under a single framework.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/panoptic-segmentation","slug":"panoptic-segmentation","lang":"en","title":"Panoptic Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:18:56.156Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.296Z","tags":["Panoptic Segmentation","Scene Parsing","Unified Vision","Autonomous Systems"]}},{"page_content":"# Parameter Efficient Fine-Tuning\n\n**Definition:** Tüm modeli güncellemeden sınırlı sayıda parametre ile uyarlama yapmayı hedefleyen fine-tuning yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/parameter-efficient-fine-tuning","slug":"parameter-efficient-fine-tuning","lang":"tr","title":"Parameter Efficient Fine-Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:54:27.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.119Z","tags":["PEFT","Efficient Tuning","LLM","Adaptation"]}},{"page_content":"# Parameter Efficient Fine-Tuning\n\n**Definition:** A fine-tuning approach that adapts a model using a limited number of parameters instead of updating the full model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/parameter-efficient-fine-tuning","slug":"parameter-efficient-fine-tuning","lang":"en","title":"Parameter Efficient Fine-Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:54:27.634Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.119Z","tags":["PEFT","Efficient Tuning","LLM","Adaptation"]}},{"page_content":"# Parametre Paylaşımı\n\n**Definition:** Aynı ağırlıkların birden fazla konum veya yapıda tekrar kullanılmasını sağlayan verimli öğrenme ilkesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/parameter-sharing","slug":"parameter-sharing","lang":"tr","title":"Parametre Paylaşımı","category":"derin-ogrenme","updatedAt":"2026-06-27T21:18:54.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.667Z","tags":["Parameter Sharing","Efficiency","CNN","Generalization"]}},{"page_content":"# Parameter Sharing\n\n**Definition:** An efficient learning principle in which the same weights are reused across multiple positions or structures.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/parameter-sharing","slug":"parameter-sharing","lang":"en","title":"Parameter Sharing","category":"derin-ogrenme","updatedAt":"2026-06-27T21:18:54.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.667Z","tags":["Parameter Sharing","Efficiency","CNN","Generalization"]}},{"page_content":"# Parametre ve Hiperparametre\n\n**Definition:** Modelin veriden öğrendiği içsel değerler ile eğitim sürecini şekillendiren dış ayarlar arasındaki temel fark.","metadata":{"source":"https://sukruyusufkaya.com/glossary/parametre-ve-hiperparametre","slug":"parametre-ve-hiperparametre","lang":"tr","title":"Parametre ve Hiperparametre","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:46.962Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.545Z","tags":["Parametre","Hiperparametre","Eğitim","Ayarlama"]}},{"page_content":"# Parameters and Hyperparameters\n\n**Definition:** The core difference between internal values learned from data and external settings that shape the training process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/parametre-ve-hiperparametre","slug":"parametre-ve-hiperparametre","lang":"en","title":"Parameters and Hyperparameters","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:46.962Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.545Z","tags":["Parametre","Hiperparametre","Eğitim","Ayarlama"]}},{"page_content":"# Paraphrase Tespiti\n\n**Definition:** İki ifadenin farklı yüzey biçimlerine rağmen aynı ya da çok yakın anlam taşıyıp taşımadığını belirleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/paraphrase-detection","slug":"paraphrase-detection","lang":"tr","title":"Paraphrase Tespiti","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:21.529Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.747Z","tags":["Paraphrase Detection","Semantic Similarity","Deduplication","NLP"]}},{"page_content":"# Paraphrase Detection\n\n**Definition:** The task of determining whether two expressions carry the same or very similar meaning despite surface differences.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/paraphrase-detection","slug":"paraphrase-detection","lang":"en","title":"Paraphrase Detection","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:21.529Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.747Z","tags":["Paraphrase Detection","Semantic Similarity","Deduplication","NLP"]}},{"page_content":"# Paraphrase Madenciliği\n\n**Definition:** Büyük metin havuzları içinde aynı ya da çok yakın anlamı taşıyan ifade çiftlerini otomatik keşfetme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/paraphrase-mining","slug":"paraphrase-mining","lang":"tr","title":"Paraphrase Madenciliği","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:00.561Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.730Z","tags":["Paraphrase Mining","Semantic Similarity","Data Mining","Embeddings"]}},{"page_content":"# Paraphrase Mining\n\n**Definition:** The process of automatically discovering sentence pairs with the same or very similar meaning within large text collections.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/paraphrase-mining","slug":"paraphrase-mining","lang":"en","title":"Paraphrase Mining","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:00.561Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.730Z","tags":["Paraphrase Mining","Semantic Similarity","Data Mining","Embeddings"]}},{"page_content":"# Kısmi En Küçük Kareler Regresyonu\n\n**Definition:** Özellikle yüksek korelasyonlu ve çok boyutlu özellik uzaylarında hedefe duyarlı gizli bileşenler oluşturan regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/partial-least-squares-regression","slug":"partial-least-squares-regression","lang":"tr","title":"Kısmi En Küçük Kareler Regresyonu","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:54.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.575Z","tags":["PLS Regression","Latent Variables","High-Dimensional Data","Regression"]}},{"page_content":"# Partial Least Squares Regression\n\n**Definition:** A regression method that builds target-aware latent components, especially in highly correlated and high-dimensional feature spaces.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/partial-least-squares-regression","slug":"partial-least-squares-regression","lang":"en","title":"Partial Least Squares Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:54.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.575Z","tags":["PLS Regression","Latent Variables","High-Dimensional Data","Regression"]}},{"page_content":"# Partition Budama\n\n**Definition:** Toplu işleme ve sorgularda yalnızca ilgili partition'ları işleyerek maliyeti azaltan optimizasyon tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/partition-pruning","slug":"partition-pruning","lang":"tr","title":"Partition Budama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:48:04.577Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.157Z","tags":["Partition Pruning","Batch","Optimization","Performance"]}},{"page_content":"# Partition Pruning\n\n**Definition:** An optimization technique that reduces cost by processing only relevant partitions in batch jobs and queries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/partition-pruning","slug":"partition-pruning","lang":"en","title":"Partition Pruning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:48:04.577Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.157Z","tags":["Partition Pruning","Batch","Optimization","Performance"]}},{"page_content":"# Partitioning\n\n**Definition:** Büyük veri kümelerini mantıksal parçalara ayırarak okuma, yazma ve işleme verimliliğini artırma tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/partitioning","slug":"partitioning","lang":"tr","title":"Partitioning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:47.251Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.993Z","tags":["Partitioning","Performance","Storage","Data Processing"]}},{"page_content":"# Partitioning\n\n**Definition:** A technique for improving read, write, and processing efficiency by splitting large datasets into logical partitions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/partitioning","slug":"partitioning","lang":"en","title":"Partitioning","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:38:47.251Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.993Z","tags":["Partitioning","Performance","Storage","Data Processing"]}},{"page_content":"# Pasif Veri Toplama\n\n**Definition:** Kullanıcının doğrudan veri girmesi yerine davranış, sensör ve sistem izleri üzerinden veri elde edilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pasif-veri-toplama","slug":"pasif-veri-toplama","lang":"tr","title":"Pasif Veri Toplama","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:56.909Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.701Z","tags":["Passive Data","Behavioral Data","Sensors","Privacy"]}},{"page_content":"# Passive Data Collection\n\n**Definition:** An approach in which data is collected through behavior, sensor output, and system traces rather than direct user input.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pasif-veri-toplama","slug":"pasif-veri-toplama","lang":"en","title":"Passive Data Collection","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:56.909Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.701Z","tags":["Passive Data","Behavioral Data","Sensors","Privacy"]}},{"page_content":"# Pekiştirmeli Öğrenme\n\n**Definition:** Bir ajanın çevreyle etkileşim kurarak ödül ve ceza üzerinden uzun vadeli davranış politikası öğrenmesini sağlayan paradigma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pekistirmeli-ogrenme","slug":"pekistirmeli-ogrenme","lang":"tr","title":"Pekiştirmeli Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:25.504Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.271Z","tags":["RL","Ajan","Ödül","Politika"]}},{"page_content":"# Reinforcement Learning\n\n**Definition:** A paradigm in which an agent learns a long-term behavior policy through rewards and penalties by interacting with its environment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pekistirmeli-ogrenme","slug":"pekistirmeli-ogrenme","lang":"en","title":"Reinforcement Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:25.504Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.271Z","tags":["RL","Ajan","Ödül","Politika"]}},{"page_content":"# Perceptron\n\n**Definition:** Girdi ağırlıkları ile doğrusal karar sınırı öğrenen en temel yapay nöron modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/perceptron","slug":"perceptron","lang":"tr","title":"Perceptron","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.302Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.474Z","tags":["Perceptron","Neural Networks","Linear Models","Deep Learning"]}},{"page_content":"# Perceptron\n\n**Definition:** The most basic artificial neuron model that learns a linear decision boundary through weighted inputs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/perceptron","slug":"perceptron","lang":"en","title":"Perceptron","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:04.302Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.474Z","tags":["Perceptron","Neural Networks","Linear Models","Deep Learning"]}},{"page_content":"# Permütasyon Testi\n\n**Definition:** Dağılım varsayımlarına daha az bağımlı biçimde farkın tesadüfi olup olmadığını değerlendiren yeniden örnekleme tabanlı test.","metadata":{"source":"https://sukruyusufkaya.com/glossary/permutasyon-testi","slug":"permutasyon-testi","lang":"tr","title":"Permütasyon Testi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:38.370Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.498Z","tags":["Permutation Test","Resampling","Nonparametric","Inference"]}},{"page_content":"# Permutation Test\n\n**Definition:** A resampling-based test that evaluates whether an observed difference could be due to chance with weaker reliance on distributional assumptions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/permutasyon-testi","slug":"permutasyon-testi","lang":"en","title":"Permutation Test","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:38.370Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:18.498Z","tags":["Permutation Test","Resampling","Nonparametric","Inference"]}},{"page_content":"# Perplexity\n\n**Definition:** Bir olasılık modelinin veriyi ne kadar şaşkınlıkla karşıladığını özetleyen özellikle dil modellerinde yaygın ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/perplexity","slug":"perplexity","lang":"tr","title":"Perplexity","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:30:38.545Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.686Z","tags":["Perplexity","Language Models","Cross Entropy","Evaluation"]}},{"page_content":"# Perplexity\n\n**Definition:** A measure, especially common in language models, that summarizes how surprised a probability model is by the data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/perplexity","slug":"perplexity","lang":"en","title":"Perplexity","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:30:38.545Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:50.686Z","tags":["Perplexity","Language Models","Cross Entropy","Evaluation"]}},{"page_content":"# Kişiselleştirilmiş Konuşma İyileştirme\n\n**Definition:** Belirli bir hedef konuşmacının sesini arka plan ve diğer konuşmacılar arasından daha iyi ayıklamaya odaklanan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/personalized-speech-enhancement","slug":"personalized-speech-enhancement","lang":"tr","title":"Kişiselleştirilmiş Konuşma İyileştirme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:21:42.945Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.868Z","tags":["Personalized Enhancement","Target Speaker","Speech Separation","Audio AI"]}},{"page_content":"# Personalized Speech Enhancement\n\n**Definition:** An approach focused on extracting a specific target speaker’s voice more effectively from background noise and other speakers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/personalized-speech-enhancement","slug":"personalized-speech-enhancement","lang":"en","title":"Personalized Speech Enhancement","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:21:42.945Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.868Z","tags":["Personalized Enhancement","Target Speaker","Speech Separation","Audio AI"]}},{"page_content":"# Faz Duyarlı Ses İşleme\n\n**Definition:** Yalnızca genlik değil faz bilgisini de dikkate alarak daha doğal ve doğru ses restorasyonu hedefleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/phase-aware-audio-processing","slug":"phase-aware-audio-processing","lang":"tr","title":"Faz Duyarlı Ses İşleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:12.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.233Z","tags":["Phase Processing","Audio Restoration","Signal Processing","Speech Enhancement"]}},{"page_content":"# Phase-Aware Audio Processing\n\n**Definition:** An approach that aims for more natural and accurate audio restoration by considering phase information in addition to magnitude.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/phase-aware-audio-processing","slug":"phase-aware-audio-processing","lang":"en","title":"Phase-Aware Audio Processing","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:12.995Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.233Z","tags":["Phase Processing","Audio Restoration","Signal Processing","Speech Enhancement"]}},{"page_content":"# Fonem Duyarlı Anahtar Kelime Tespiti\n\n**Definition:** Anahtar kelime tespitini yalnızca kelime düzeyinde değil fonetik yapı üzerinden de modelleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/phoneme-aware-keyword-spotting","slug":"phoneme-aware-keyword-spotting","lang":"tr","title":"Fonem Duyarlı Anahtar Kelime Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:48.130Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.689Z","tags":["Phoneme-Aware KWS","Keyword Spotting","Pronunciation Variation","Speech"]}},{"page_content":"# Phoneme-Aware Keyword Spotting\n\n**Definition:** An approach that models keyword spotting not only at the word level but also through phonetic structure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/phoneme-aware-keyword-spotting","slug":"phoneme-aware-keyword-spotting","lang":"en","title":"Phoneme-Aware Keyword Spotting","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:48.130Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.689Z","tags":["Phoneme-Aware KWS","Keyword Spotting","Pronunciation Variation","Speech"]}},{"page_content":"# PII Lineage Takibi\n\n**Definition:** Kişisel verilerin veri platformu içinde nereden gelip nereye gittiğini izlemeye odaklanan özel lineage yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pii-lineage-tracking","slug":"pii-lineage-tracking","lang":"tr","title":"PII Lineage Takibi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:40.238Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.325Z","tags":["PII","Lineage","Privacy","Compliance"]}},{"page_content":"# PII Lineage Tracking\n\n**Definition:** A specialized lineage approach focused on tracking where personal data comes from and where it flows across the data platform.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pii-lineage-tracking","slug":"pii-lineage-tracking","lang":"en","title":"PII Lineage Tracking","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:44:40.238Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.325Z","tags":["PII","Lineage","Privacy","Compliance"]}},{"page_content":"# Ön İşleme Pipeline'ı\n\n**Definition:** Veri dönüşüm adımlarının sıralı, tekrar üretilebilir ve otomasyona uygun biçimde kurgulanmış akışı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pipeline","slug":"pipeline","lang":"tr","title":"Ön İşleme Pipeline'ı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:58:53.835Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.290Z","tags":["Pipeline","Preprocessing","Reproducibility","Production ML"]}},{"page_content":"# Preprocessing Pipeline\n\n**Definition:** A sequenced, reproducible, and automation-friendly workflow of data transformation steps.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pipeline","slug":"pipeline","lang":"en","title":"Preprocessing Pipeline","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:58:53.835Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.290Z","tags":["Pipeline","Preprocessing","Reproducibility","Production ML"]}},{"page_content":"# Pipeline Gözlemlenebilirliği\n\n**Definition:** Veri boru hatlarının sağlık, gecikme, hacim ve hata davranışlarının sürekli izlenmesini sağlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pipeline-observability","slug":"pipeline-observability","lang":"tr","title":"Pipeline Gözlemlenebilirliği","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:58.992Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.566Z","tags":["Observability","Pipelines","Monitoring","Reliability"]}},{"page_content":"# Pipeline Observability\n\n**Definition:** An approach that continuously monitors the health, latency, volume, and failure behavior of data pipelines.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pipeline-observability","slug":"pipeline-observability","lang":"en","title":"Pipeline Observability","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:58.992Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.566Z","tags":["Observability","Pipelines","Monitoring","Reliability"]}},{"page_content":"# Pipeline SLA\n\n**Definition:** Bir veri boru hattının beklenen teslim süresi, başarı oranı ve kullanılabilirlik seviyesini tanımlayan hizmet standardı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pipeline-sla","slug":"pipeline-sla","lang":"tr","title":"Pipeline SLA","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:52.771Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.740Z","tags":["Pipeline SLA","Data Freshness","Service Quality","Operations"]}},{"page_content":"# Pipeline SLA\n\n**Definition:** A service standard that defines the expected delivery time, success rate, and availability level of a data pipeline.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pipeline-sla","slug":"pipeline-sla","lang":"en","title":"Pipeline SLA","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:43:52.771Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.740Z","tags":["Pipeline SLA","Data Freshness","Service Quality","Operations"]}},{"page_content":"# Perde Takibi\n\n**Definition:** Ses sinyalindeki temel frekansın zaman boyunca izlenmesini sağlayan temel akustik analiz görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pitch-tracking","slug":"pitch-tracking","lang":"tr","title":"Perde Takibi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:05.759Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.046Z","tags":["Pitch Tracking","Fundamental Frequency","Prosody","Signal Processing"]}},{"page_content":"# Pitch Tracking\n\n**Definition:** A core acoustic analysis task that tracks the fundamental frequency of an audio signal over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pitch-tracking","slug":"pitch-tracking","lang":"en","title":"Pitch Tracking","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:05.759Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:21.046Z","tags":["Pitch Tracking","Fundamental Frequency","Prosody","Signal Processing"]}},{"page_content":"# Point-in-Time Join\n\n**Definition:** Bir tahmin anında gerçekten erişilebilir olan geçmiş özellikleri kullanarak eğitim verisi üretme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/point-in-time-join","slug":"point-in-time-join","lang":"tr","title":"Point-in-Time Join","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:54.155Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.336Z","tags":["Point-in-Time Join","Leakage Prevention","Feature Store","Temporal ML"]}},{"page_content":"# Point-in-Time Join\n\n**Definition:** An approach for generating training data using only the historical features that would actually have been available at prediction time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/point-in-time-join","slug":"point-in-time-join","lang":"en","title":"Point-in-Time Join","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:54.155Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.336Z","tags":["Point-in-Time Join","Leakage Prevention","Feature Store","Temporal ML"]}},{"page_content":"# Poisson Dağılımı\n\n**Definition:** Belirli bir zaman veya alan aralığında meydana gelen olay sayısını modellemek için kullanılan ayrık dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/poisson-dagilimi","slug":"poisson-dagilimi","lang":"tr","title":"Poisson Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:31.823Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.318Z","tags":["Poisson","Event Count","Discrete Distribution","Operations"]}},{"page_content":"# Poisson Distribution\n\n**Definition:** A discrete distribution used to model the number of events occurring within a fixed interval of time or space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/poisson-dagilimi","slug":"poisson-dagilimi","lang":"en","title":"Poisson Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:31.823Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.318Z","tags":["Poisson","Event Count","Discrete Distribution","Operations"]}},{"page_content":"# Poisson Regresyonu\n\n**Definition:** Sayım verilerini modellemek için beklenen olay sayısını log-bağlantı fonksiyonuyla tahmin eden regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/poisson-regression","slug":"poisson-regression","lang":"tr","title":"Poisson Regresyonu","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:03.205Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.485Z","tags":["Poisson Regression","Count Data","GLM","Regression"]}},{"page_content":"# Poisson Regression\n\n**Definition:** A regression method that models count data by estimating the expected number of events through a log-link function.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/poisson-regression","slug":"poisson-regression","lang":"en","title":"Poisson Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:03.205Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:01.485Z","tags":["Poisson Regression","Count Data","GLM","Regression"]}},{"page_content":"# Kod Olarak Politika\n\n**Definition:** Veri erişim, kullanım ve güvenlik politikalarının manuel süreçler yerine kodla tanımlanıp uygulanması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/policy-as-code","slug":"policy-as-code","lang":"tr","title":"Kod Olarak Politika","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:17:43.326Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.537Z","tags":["Policy as Code","Governance Automation","Access Control","Data Platforms"]}},{"page_content":"# Policy as Code\n\n**Definition:** An approach in which data access, usage, and security policies are defined and enforced through code instead of manual processes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/policy-as-code","slug":"policy-as-code","lang":"en","title":"Policy as Code","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:17:43.326Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.537Z","tags":["Policy as Code","Governance Automation","Access Control","Data Platforms"]}},{"page_content":"# Politika\n\n**Definition:** Bir ajanın belirli bir durumda hangi eylemi seçeceğini tanımlayan karar kuralı veya davranış stratejisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/politika","slug":"politika","lang":"tr","title":"Politika","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:54.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.092Z","tags":["Policy","Ajan","Karar","Davranış"]}},{"page_content":"# Policy\n\n**Definition:** A decision rule or behavioral strategy that defines which action an agent should choose in a given state.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/politika","slug":"politika","lang":"en","title":"Policy","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:54.301Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.092Z","tags":["Policy","Ajan","Karar","Davranış"]}},{"page_content":"# Polinomsal Regresyon\n\n**Definition:** Doğrusal model yapısını korurken giriş değişkenlerinin polinom terimlerini kullanarak eğrisel ilişkileri modelleyen yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/polynomial-regression","slug":"polynomial-regression","lang":"tr","title":"Polinomsal Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:23.513Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.689Z","tags":["Polynomial Regression","Nonlinear Patterns","Regression","Feature Engineering"]}},{"page_content":"# Polynomial Regression\n\n**Definition:** A method that preserves linear model structure while modeling curved relationships through polynomial terms of input variables.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/polynomial-regression","slug":"polynomial-regression","lang":"en","title":"Polynomial Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:46:23.513Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.689Z","tags":["Polynomial Regression","Nonlinear Patterns","Regression","Feature Engineering"]}},{"page_content":"# Pooling Katmanı\n\n**Definition:** Özellik haritalarını özetleyerek boyutu küçülten ve yerel değişimlere dayanıklılık sağlayan katman.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pooling-layer","slug":"pooling-layer","lang":"tr","title":"Pooling Katmanı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:08.837Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.970Z","tags":["Pooling","CNN","Feature Maps","Dimensionality Reduction"]}},{"page_content":"# Pooling Layer\n\n**Definition:** A layer that summarizes feature maps, reduces dimensionality, and provides robustness to local variations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pooling-layer","slug":"pooling-layer","lang":"en","title":"Pooling Layer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:08.837Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.970Z","tags":["Pooling","CNN","Feature Maps","Dimensionality Reduction"]}},{"page_content":"# Pozisyon Kodlama\n\n**Definition:** Transformer modellerine sıradaki konum bilgisini ekleyerek sekans düzenini görünür kılan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/positional-encoding","slug":"positional-encoding","lang":"tr","title":"Pozisyon Kodlama","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:20.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.972Z","tags":["Positional Encoding","Transformers","Sequence Order","Attention"]}},{"page_content":"# Positional Encoding\n\n**Definition:** A method that injects order information into Transformer models so sequence positions become visible.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/positional-encoding","slug":"positional-encoding","lang":"en","title":"Positional Encoding","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:20.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.972Z","tags":["Positional Encoding","Transformers","Sequence Order","Attention"]}},{"page_content":"# Post-Norm Transformer\n\n**Definition:** Normalization katmanını dikkat veya FFN bloğundan sonra uygulayan klasik Transformer varyantı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/post-norm-transformer","slug":"post-norm-transformer","lang":"tr","title":"Post-Norm Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:03.814Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.610Z","tags":["Post-Norm","Transformers","Architecture","Optimization"]}},{"page_content":"# Post-Norm Transformer\n\n**Definition:** The classical Transformer variant that applies normalization after the attention or FFN block.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/post-norm-transformer","slug":"post-norm-transformer","lang":"en","title":"Post-Norm Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:03.814Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.610Z","tags":["Post-Norm","Transformers","Architecture","Optimization"]}},{"page_content":"# Eğitim Sonrası Nicemleme\n\n**Definition:** Önceden eğitilmiş modeli daha düşük bit hassasiyetine indirerek bellek ve hız avantajı sağlayan nicemleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/post-training-quantization","slug":"post-training-quantization","lang":"tr","title":"Eğitim Sonrası Nicemleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:39.935Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.013Z","tags":["PTQ","Quantization","Inference Efficiency","LLM"]}},{"page_content":"# Post-Training Quantization\n\n**Definition:** A quantization approach that reduces a pretrained model to lower-bit precision to gain memory and speed benefits.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/post-training-quantization","slug":"post-training-quantization","lang":"en","title":"Post-Training Quantization","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:39.935Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.013Z","tags":["PTQ","Quantization","Inference Efficiency","LLM"]}},{"page_content":"# Posterior Collapse\n\n**Definition:** VAE eğitiminde decoderın latent değişkeni göz ardı ederek temsil öğrenmenin zayıflamasına yol açtığı sorun.","metadata":{"source":"https://sukruyusufkaya.com/glossary/posterior-collapse","slug":"posterior-collapse","lang":"tr","title":"Posterior Collapse","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:30.487Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.061Z","tags":["Posterior Collapse","VAE","Latent Space","Generative Modeling"]}},{"page_content":"# Posterior Collapse\n\n**Definition:** A VAE training issue in which the decoder ignores the latent variable, weakening representation learning.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/posterior-collapse","slug":"posterior-collapse","lang":"en","title":"Posterior Collapse","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:30.487Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:48.061Z","tags":["Posterior Collapse","VAE","Latent Space","Generative Modeling"]}},{"page_content":"# Posterior Olasılık\n\n**Definition:** Yeni veri gözlemlendikten sonra güncellenmiş inancı temsil eden Bayesçi olasılık kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/posterior-olasilik","slug":"posterior-olasilik","lang":"tr","title":"Posterior Olasılık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:34.657Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.401Z","tags":["Posterior","Bayesian","Belief Update","Probability"]}},{"page_content":"# Posterior Probability\n\n**Definition:** A Bayesian probability concept representing updated belief after observing new data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/posterior-olasilik","slug":"posterior-olasilik","lang":"en","title":"Posterior Probability","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:34.657Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.401Z","tags":["Posterior","Bayesian","Belief Update","Probability"]}},{"page_content":"# Pre-Norm Transformer\n\n**Definition:** Normalization katmanını ana dikkat veya FFN bloğundan önce konumlandıran Transformer tasarım varyantı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pre-norm-transformer","slug":"pre-norm-transformer","lang":"tr","title":"Pre-Norm Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:40.418Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.522Z","tags":["Pre-Norm","Transformers","Layer Normalization","Training Stability"]}},{"page_content":"# Pre-Norm Transformer\n\n**Definition:** A Transformer design variant that places normalization before the main attention or FFN block.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pre-norm-transformer","slug":"pre-norm-transformer","lang":"en","title":"Pre-Norm Transformer","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:40.418Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.522Z","tags":["Pre-Norm","Transformers","Layer Normalization","Training Stability"]}},{"page_content":"# Precision-Recall AUC\n\n**Definition:** Özellikle dengesiz sınıflarda modelin yararlı pozitifleri bulma başarısını özetleyen değerlendirme metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/precision-recall-auc","slug":"precision-recall-auc","lang":"tr","title":"Precision-Recall AUC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:24.187Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.053Z","tags":["PR-AUC","Imbalanced Data","Evaluation","Classification"]}},{"page_content":"# Precision-Recall AUC\n\n**Definition:** An evaluation metric that summarizes how well a model retrieves useful positives, especially in imbalanced settings.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/precision-recall-auc","slug":"precision-recall-auc","lang":"en","title":"Precision-Recall AUC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:40:24.187Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:20.053Z","tags":["PR-AUC","Imbalanced Data","Evaluation","Classification"]}},{"page_content":"# Tercih Optimizasyonu\n\n**Definition:** Model çıktısını insan ya da sistem tercih sinyallerine göre daha kullanışlı hale getirmeyi amaçlayan hizalama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/preference-optimization","slug":"preference-optimization","lang":"tr","title":"Tercih Optimizasyonu","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:04.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.912Z","tags":["Preference Optimization","Alignment","RLHF","LLM"]}},{"page_content":"# Preference Optimization\n\n**Definition:** An alignment approach that makes model output more useful by optimizing against human or system preference signals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/preference-optimization","slug":"preference-optimization","lang":"en","title":"Preference Optimization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:04.069Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.912Z","tags":["Preference Optimization","Alignment","RLHF","LLM"]}},{"page_content":"# Prefix Tuning\n\n**Definition:** Modelin iç dikkat yapısını küçük öğrenilebilir ön ek temsilleriyle yönlendiren PEFT tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prefix-tuning","slug":"prefix-tuning","lang":"tr","title":"Prefix Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:53.602Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.470Z","tags":["Prefix Tuning","PEFT","Attention Control","LLM"]}},{"page_content":"# Prefix Tuning\n\n**Definition:** A PEFT technique that steers the model’s internal attention behavior through small learnable prefix representations.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prefix-tuning","slug":"prefix-tuning","lang":"en","title":"Prefix Tuning","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:53.602Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.470Z","tags":["Prefix Tuning","PEFT","Attention Control","LLM"]}},{"page_content":"# Ön Eğitim\n\n**Definition:** Modelin büyük ölçekli genel veri üzerinde temel örüntüleri öğrenmesini sağlayan ilk eğitim aşaması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pretraining","slug":"pretraining","lang":"tr","title":"Ön Eğitim","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:41.291Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.717Z","tags":["Pretraining","Foundation Models","Large-Scale Learning"]}},{"page_content":"# Pretraining\n\n**Definition:** The initial training stage in which a model learns broad patterns from large-scale general data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pretraining","slug":"pretraining","lang":"en","title":"Pretraining","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:41.291Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.717Z","tags":["Pretraining","Foundation Models","Large-Scale Learning"]}},{"page_content":"# Ön Eğitim Korpusu\n\n**Definition:** Dil modelinin genel dil bilgisi ve dünya bilgisi edinmek için kullandığı büyük metin veri havuzu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pretraining-corpus","slug":"pretraining-corpus","lang":"tr","title":"Ön Eğitim Korpusu","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:18.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.938Z","tags":["Pretraining","Corpus","LLM","Data Curation"]}},{"page_content":"# Pretraining Corpus\n\n**Definition:** The large text data pool used by a language model to acquire general linguistic and world knowledge.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pretraining-corpus","slug":"pretraining-corpus","lang":"en","title":"Pretraining Corpus","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:18.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.938Z","tags":["Pretraining","Corpus","LLM","Data Curation"]}},{"page_content":"# Temel Bileşen Analizi\n\n**Definition:** Verideki varyansın büyük kısmını koruyarak boyutu azaltan en yaygın doğrusal boyut indirgeme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/principal-component-analysis","slug":"principal-component-analysis","lang":"tr","title":"Temel Bileşen Analizi","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:46.848Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.688Z","tags":["PCA","Dimensionality Reduction","Variance","Preprocessing"]}},{"page_content":"# Principal Component Analysis\n\n**Definition:** The most widely used linear dimensionality reduction method that preserves most of the variance in the data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/principal-component-analysis","slug":"principal-component-analysis","lang":"en","title":"Principal Component Analysis","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:46.848Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.688Z","tags":["PCA","Dimensionality Reduction","Variance","Preprocessing"]}},{"page_content":"# Gizlilik Bütçesi\n\n**Definition:** Diferansiyel gizlilik uygulamalarında ne kadar gizlilik kaybına izin verileceğini nicel olarak yöneten kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/privacy-budget","slug":"privacy-budget","lang":"tr","title":"Gizlilik Bütçesi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:06.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.899Z","tags":["Privacy Budget","Differential Privacy","Governance","Risk"]}},{"page_content":"# Privacy Budget\n\n**Definition:** A concept that quantitatively governs how much privacy loss is allowed in differential privacy applications.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/privacy-budget","slug":"privacy-budget","lang":"en","title":"Privacy Budget","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:06.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.899Z","tags":["Privacy Budget","Differential Privacy","Governance","Risk"]}},{"page_content":"# Programatik Etiketleme\n\n**Definition:** Etiketlerin manuel tek tek giriş yerine kod, kural veya fonksiyonlar aracılığıyla otomatik üretilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/programmatic-labeling","slug":"programmatic-labeling","lang":"tr","title":"Programatik Etiketleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:41.870Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.319Z","tags":["Programmatic Labeling","Automation","Weak Supervision","Scalability"]}},{"page_content":"# Programmatic Labeling\n\n**Definition:** An approach in which labels are generated automatically through code, rules, or functions rather than manual entry.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/programmatic-labeling","slug":"programmatic-labeling","lang":"en","title":"Programmatic Labeling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:41.870Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.319Z","tags":["Programmatic Labeling","Automation","Weak Supervision","Scalability"]}},{"page_content":"# Prompt Tabanlı Sınıflandırma\n\n**Definition:** Sınıflandırma problemini doğrudan doğal dil yönergeleri ve etiket açıklamaları üzerinden çözme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prompt-based-classification","slug":"prompt-based-classification","lang":"tr","title":"Prompt Tabanlı Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:23.323Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.834Z","tags":["Prompt-Based Classification","LLM","Prompting","Zero-Shot NLP"]}},{"page_content":"# Prompt-Based Classification\n\n**Definition:** An approach that solves classification problems directly through natural language instructions and label descriptions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prompt-based-classification","slug":"prompt-based-classification","lang":"en","title":"Prompt-Based Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:23.323Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.834Z","tags":["Prompt-Based Classification","LLM","Prompting","Zero-Shot NLP"]}},{"page_content":"# Prompt Şablonu\n\n**Definition:** Tekrarlanan görevlerde tutarlı ve yeniden kullanılabilir istem yapısı sağlayan parametreli prompt kalıbı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prompt-template","slug":"prompt-template","lang":"tr","title":"Prompt Şablonu","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:59:08.643Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.773Z","tags":["Prompt Template","Reuse","Prompt Engineering","Operations"]}},{"page_content":"# Prompt Template\n\n**Definition:** A parameterized prompt pattern that provides reusable and consistent structure across repeated tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prompt-template","slug":"prompt-template","lang":"en","title":"Prompt Template","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:59:08.643Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.773Z","tags":["Prompt Template","Reuse","Prompt Engineering","Operations"]}},{"page_content":"# Promptlanabilir Segmentasyon\n\n**Definition:** Nokta, kutu veya metin gibi istemlerle yönlendirilerek segmentasyon yapan esnek görsel ayrıştırma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/promptable-segmentation","slug":"promptable-segmentation","lang":"tr","title":"Promptlanabilir Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:39.646Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.762Z","tags":["Promptable Segmentation","Interactive Vision","Segmentation","Foundation Models"]}},{"page_content":"# Promptable Segmentation\n\n**Definition:** A flexible visual separation approach that performs segmentation guided by prompts such as points, boxes, or text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/promptable-segmentation","slug":"promptable-segmentation","lang":"en","title":"Promptable Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:39.646Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.762Z","tags":["Promptable Segmentation","Interactive Vision","Segmentation","Foundation Models"]}},{"page_content":"# Telaffuz Sözlüğü\n\n**Definition:** Yazılı sözcükleri fonetik biçimlerle eşleştirerek hibrit konuşma tanıma sistemlerinde akustik-dil köprüsü kuran kaynak.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pronunciation-lexicon","slug":"pronunciation-lexicon","lang":"tr","title":"Telaffuz Sözlüğü","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:43.072Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.989Z","tags":["Pronunciation Lexicon","Hybrid ASR","Phonetics","Speech Recognition"]}},{"page_content":"# Pronunciation Lexicon\n\n**Definition:** A resource that maps written words to phonetic forms and builds an acoustic-linguistic bridge in hybrid speech recognition systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pronunciation-lexicon","slug":"pronunciation-lexicon","lang":"en","title":"Pronunciation Lexicon","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:45:43.072Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.989Z","tags":["Pronunciation Lexicon","Hybrid ASR","Phonetics","Speech Recognition"]}},{"page_content":"# Prophet\n\n**Definition:** Trend, mevsimsellik ve tatil etkilerini esnek biçimde modellemek üzere geliştirilmiş modern zaman serisi aracı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prophet","slug":"prophet","lang":"tr","title":"Prophet","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:08.002Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.952Z","tags":["Prophet","Time Series","Forecasting","Seasonality"]}},{"page_content":"# Prophet\n\n**Definition:** A modern time series tool developed to flexibly model trend, seasonality, and holiday effects.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prophet","slug":"prophet","lang":"en","title":"Prophet","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:08.002Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.952Z","tags":["Prophet","Time Series","Forecasting","Seasonality"]}},{"page_content":"# Prozodik Duygu İpuçları\n\n**Definition:** Duygusal yorum için perde, ritim, enerji ve duraklama gibi konuşma üstyapı özelliklerini kullanan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prosodic-emotion-cues","slug":"prosodic-emotion-cues","lang":"tr","title":"Prozodik Duygu İpuçları","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:28.881Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.305Z","tags":["Prosody","Emotion Recognition","Speech Analysis","Audio Features"]}},{"page_content":"# Prosodic Emotion Cues\n\n**Definition:** An approach that uses suprasegmental speech features such as pitch, rhythm, energy, and pauses for emotional interpretation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prosodic-emotion-cues","slug":"prosodic-emotion-cues","lang":"en","title":"Prosodic Emotion Cues","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:28.881Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.305Z","tags":["Prosody","Emotion Recognition","Speech Analysis","Audio Features"]}},{"page_content":"# Prozodi Modelleme\n\n**Definition:** Konuşmanın vurgu, ritim, tonlama ve duraklama yapısını modelleyerek daha doğal sentez üretme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/prosody-modeling","slug":"prosody-modeling","lang":"tr","title":"Prozodi Modelleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:26.161Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.634Z","tags":["Prosody","TTS","Speech Synthesis","Naturalness"]}},{"page_content":"# Prosody Modeling\n\n**Definition:** An approach that models emphasis, rhythm, intonation, and pause structure to produce more natural speech synthesis.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/prosody-modeling","slug":"prosody-modeling","lang":"en","title":"Prosody Modeling","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:26.161Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.634Z","tags":["Prosody","TTS","Speech Synthesis","Naturalness"]}},{"page_content":"# Proximal Gradient\n\n**Definition:** Düzgün ve düzgün olmayan bileşenleri birlikte içeren optimizasyon problemleri için kullanılan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/proximal-gradient","slug":"proximal-gradient","lang":"tr","title":"Proximal Gradient","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:55:02.647Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.246Z","tags":["Proximal Gradient","Sparse Models","Regularization","Optimization"]}},{"page_content":"# Proximal Gradient\n\n**Definition:** An optimization method used for problems that combine smooth and non-smooth objective components.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/proximal-gradient","slug":"proximal-gradient","lang":"en","title":"Proximal Gradient","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:55:02.647Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.246Z","tags":["Proximal Gradient","Sparse Models","Regularization","Optimization"]}},{"page_content":"# Pushdown Transformation\n\n**Definition:** Dönüşüm işlemlerinin ayrı bir katmanda değil, verinin bulunduğu motor veya platform üzerinde çalıştırılması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/pushdown-transformation","slug":"pushdown-transformation","lang":"tr","title":"Pushdown Transformation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:23:17.858Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.296Z","tags":["Pushdown","ELT","Optimization","Compute Efficiency"]}},{"page_content":"# Pushdown Transformation\n\n**Definition:** An approach in which transformations are executed inside the engine or platform where the data already resides rather than in a separate layer.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/pushdown-transformation","slug":"pushdown-transformation","lang":"en","title":"Pushdown Transformation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:23:17.858Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.296Z","tags":["Pushdown","ELT","Optimization","Compute Efficiency"]}},{"page_content":"# QLoRA\n\n**Definition:** Nicemlenmiş temel model üzerinde LoRA uyarlaması yaparak düşük donanım maliyetiyle fine-tuning sağlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/qlora","slug":"qlora","lang":"tr","title":"QLoRA","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:38:06.305Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.293Z","tags":["QLoRA","LoRA","Quantized Fine-Tuning","LLM"]}},{"page_content":"# QLoRA\n\n**Definition:** An approach that performs LoRA adaptation on a quantized base model to enable fine-tuning at lower hardware cost.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/qlora","slug":"qlora","lang":"en","title":"QLoRA","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:38:06.305Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.293Z","tags":["QLoRA","LoRA","Quantized Fine-Tuning","LLM"]}},{"page_content":"# Quantile Dönüşümü\n\n**Definition:** Veri dağılımını sıralama tabanlı biçimde yeniden şekillendirerek daha düzenli veya hedef bir dağılıma yaklaştıran dönüşüm.","metadata":{"source":"https://sukruyusufkaya.com/glossary/quantile-donusumu","slug":"quantile-donusumu","lang":"tr","title":"Quantile Dönüşümü","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:41.688Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.670Z","tags":["Quantile Transform","Distribution Shaping","Preprocessing","Scaling"]}},{"page_content":"# Quantile Transformation\n\n**Definition:** A transformation that reshapes data through rank-based mapping to make it more regular or closer to a target distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/quantile-donusumu","slug":"quantile-donusumu","lang":"en","title":"Quantile Transformation","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:41.688Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.670Z","tags":["Quantile Transform","Distribution Shaping","Preprocessing","Scaling"]}},{"page_content":"# Kantil Regresyon\n\n**Definition:** Hedef değişkenin yalnızca ortalamasını değil, belirli kantil seviyelerini modelleyen regresyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/quantile-regression","slug":"quantile-regression","lang":"tr","title":"Kantil Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:16.476Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.777Z","tags":["Quantile Regression","Distribution Modeling","Risk Analysis","Regression"]}},{"page_content":"# Quantile Regression\n\n**Definition:** A regression approach that models specific quantiles of the target variable rather than only its mean.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/quantile-regression","slug":"quantile-regression","lang":"en","title":"Quantile Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:16.476Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:04.777Z","tags":["Quantile Regression","Distribution Modeling","Risk Analysis","Regression"]}},{"page_content":"# Quantization Aware Training\n\n**Definition:** Modeli eğitim sırasında düşük hassasiyet koşullarına alıştırarak nicemleme sonrası kaliteyi korumaya çalışan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/quantization-aware-training","slug":"quantization-aware-training","lang":"tr","title":"Quantization Aware Training","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:46.951Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.102Z","tags":["QAT","Quantization","Training","Efficiency"]}},{"page_content":"# Quantization Aware Training\n\n**Definition:** An approach that trains the model under low-precision conditions to preserve quality after quantization.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/quantization-aware-training","slug":"quantization-aware-training","lang":"en","title":"Quantization Aware Training","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:46.951Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.102Z","tags":["QAT","Quantization","Training","Efficiency"]}},{"page_content":"# Sorgu Hızlandırma\n\n**Definition:** Veri ambarı sorgularının daha düşük gecikme ve daha yüksek verimle çalışmasını sağlayan optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/query-acceleration","slug":"query-acceleration","lang":"tr","title":"Sorgu Hızlandırma","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:08.952Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.705Z","tags":["Query Acceleration","Warehouse","Optimization","BI"]}},{"page_content":"# Query Acceleration\n\n**Definition:** An optimization approach that enables data warehouse queries to run with lower latency and higher efficiency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/query-acceleration","slug":"query-acceleration","lang":"en","title":"Query Acceleration","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:37:08.952Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.705Z","tags":["Query Acceleration","Warehouse","Optimization","BI"]}},{"page_content":"# Örneğe Dayalı Anahtar Kelime Tespiti\n\n**Definition:** Metin yerine örnek ses vererek benzer kelime veya ifadeleri ses akışı içinde bulmayı amaçlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/query-by-example-keyword-spotting","slug":"query-by-example-keyword-spotting","lang":"tr","title":"Örneğe Dayalı Anahtar Kelime Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:45.775Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.599Z","tags":["Query-by-Example","Keyword Spotting","Audio Search","Low-Resource Speech"]}},{"page_content":"# Query-by-Example Keyword Spotting\n\n**Definition:** An approach that searches for similar words or phrases in audio streams by using an example audio query instead of text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/query-by-example-keyword-spotting","slug":"query-by-example-keyword-spotting","lang":"en","title":"Query-by-Example Keyword Spotting","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:45.775Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.599Z","tags":["Query-by-Example","Keyword Spotting","Audio Search","Low-Resource Speech"]}},{"page_content":"# Sorgu Genişletme\n\n**Definition:** Kullanıcı sorgusunu eş anlamlılar, ilişkili terimler veya yeniden yazımlar ile zenginleştirerek retrieval kapsamını artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/query-expansion","slug":"query-expansion","lang":"tr","title":"Sorgu Genişletme","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:02.730Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.540Z","tags":["Query Expansion","Search","Retrieval","Information Access"]}},{"page_content":"# Query Expansion\n\n**Definition:** An approach that broadens retrieval coverage by enriching the user query with synonyms, related terms, or rewrites.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/query-expansion","slug":"query-expansion","lang":"en","title":"Query Expansion","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:02.730Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.540Z","tags":["Query Expansion","Search","Retrieval","Information Access"]}},{"page_content":"# Sorgu Odaklı Özetleme\n\n**Definition:** Genel özet yerine belirli bir kullanıcı sorusu veya bilgi ihtiyacına odaklanan özet üretim yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/query-focused-summarization","slug":"query-focused-summarization","lang":"tr","title":"Sorgu Odaklı Özetleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:29.258Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.735Z","tags":["Query-Focused Summarization","Summarization","Retrieval","Documents"]}},{"page_content":"# Query-Focused Summarization\n\n**Definition:** A summarization approach that focuses on a specific user query or information need rather than producing a general summary.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/query-focused-summarization","slug":"query-focused-summarization","lang":"en","title":"Query-Focused Summarization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:29.258Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.735Z","tags":["Query-Focused Summarization","Summarization","Retrieval","Documents"]}},{"page_content":"# Query-Key-Value Temsili\n\n**Definition:** Attention mekanizmasında bilgi erişimini sorgu, anahtar ve değer ayrımı üzerinden yapılandıran temsil şeması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/query-key-value-representation","slug":"query-key-value-representation","lang":"tr","title":"Query-Key-Value Temsili","category":"derin-ogrenme","updatedAt":"2026-06-27T22:54:27.961Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.157Z","tags":["QKV","Attention","Transformers","Representation Design"]}},{"page_content":"# Query-Key-Value Representation\n\n**Definition:** A representation scheme in attention mechanisms that structures information access through the query, key, and value separation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/query-key-value-representation","slug":"query-key-value-representation","lang":"en","title":"Query-Key-Value Representation","category":"derin-ogrenme","updatedAt":"2026-06-27T22:54:27.961Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.157Z","tags":["QKV","Attention","Transformers","Representation Design"]}},{"page_content":"# Random Forest\n\n**Definition:** Birden fazla karar ağacının çıktısını birleştirerek daha sağlam tahmin yapan ensemble öğrenme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/random-forest","slug":"random-forest","lang":"tr","title":"Random Forest","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:29.907Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.965Z","tags":["Random Forest","Ensemble","Bagging","Decision Trees"]}},{"page_content":"# Random Forest\n\n**Definition:** An ensemble learning method that combines the outputs of multiple decision trees to make more robust predictions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/random-forest","slug":"random-forest","lang":"en","title":"Random Forest","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:29.907Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.965Z","tags":["Random Forest","Ensemble","Bagging","Decision Trees"]}},{"page_content":"# Rastgele Projeksiyon\n\n**Definition:** Yüksek boyutlu veriyi yaklaşık mesafe koruyarak daha düşük boyutlu uzaya taşıyan hesaplama açısından verimli yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/random-projection","slug":"random-projection","lang":"tr","title":"Rastgele Projeksiyon","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:13.372Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.390Z","tags":["Random Projection","Scalability","Dimensionality Reduction","Approximation"]}},{"page_content":"# Random Projection\n\n**Definition:** A computationally efficient method that projects high-dimensional data into a lower-dimensional space while approximately preserving distances.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/random-projection","slug":"random-projection","lang":"en","title":"Random Projection","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:13.372Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:02.390Z","tags":["Random Projection","Scalability","Dimensionality Reduction","Approximation"]}},{"page_content":"# Random Search\n\n**Definition:** Hiperparametre uzayında rastgele örneklemeler yaparak etkili kombinasyonları arayan optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/random-search","slug":"random-search","lang":"tr","title":"Random Search","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:06.171Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.403Z","tags":["Random Search","Hyperparameter Tuning","Efficiency","Optimization"]}},{"page_content":"# Random Search\n\n**Definition:** An optimization approach that searches for effective combinations by randomly sampling the hyperparameter space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/random-search","slug":"random-search","lang":"en","title":"Random Search","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:06.171Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:49.403Z","tags":["Random Search","Hyperparameter Tuning","Efficiency","Optimization"]}},{"page_content":"# Rank\n\n**Definition:** Bir matrisin doğrusal olarak bağımsız satır veya sütun sayısını ifade eden temel yapısal ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rank","slug":"rank","lang":"tr","title":"Rank","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:49.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.643Z","tags":["Rank","Matrix","Linear Algebra","Independence"]}},{"page_content":"# Rank\n\n**Definition:** A structural measure that expresses the number of linearly independent rows or columns in a matrix.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rank","slug":"rank","lang":"en","title":"Rank","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:49.893Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.643Z","tags":["Rank","Matrix","Linear Algebra","Independence"]}},{"page_content":"# Sıralama Tabanlı Öneri\n\n**Definition:** Öğeleri doğru sırada sunmaya odaklanarak öneri kalitesini optimize eden yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ranking-based-recommendation","slug":"ranking-based-recommendation","lang":"tr","title":"Sıralama Tabanlı Öneri","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:58.205Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.289Z","tags":["Ranking","Recommendation","Top-K","User Experience"]}},{"page_content":"# Ranking-Based Recommendation\n\n**Definition:** An approach that optimizes recommendation quality by focusing on presenting items in the right order.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ranking-based-recommendation","slug":"ranking-based-recommendation","lang":"en","title":"Ranking-Based Recommendation","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:44:58.205Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.289Z","tags":["Ranking","Recommendation","Top-K","User Experience"]}},{"page_content":"# Nadir Olay Modelleme\n\n**Definition:** Az sayıda gözlenen ama yüksek etkili olayları modellemek için özel stratejiler gerektiren yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rare-event-modeling","slug":"rare-event-modeling","lang":"tr","title":"Nadir Olay Modelleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:40:57.652Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.713Z","tags":["Rare Event Modeling","Fraud","Risk","Imbalanced Data"]}},{"page_content":"# Rare Event Modeling\n\n**Definition:** An approach that requires specialized strategies to model low-frequency but high-impact events.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rare-event-modeling","slug":"rare-event-modeling","lang":"en","title":"Rare Event Modeling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:40:57.652Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.713Z","tags":["Rare Event Modeling","Fraud","Risk","Imbalanced Data"]}},{"page_content":"# Rastgele Değişken\n\n**Definition:** Rastlantısal bir deneyin olası sonuçlarını sayısal değerlerle eşleyen matematiksel değişken.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rastgele-degisken","slug":"rastgele-degisken","lang":"tr","title":"Rastgele Değişken","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:44.490Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.401Z","tags":["Random Variable","Belirsizlik","Veri Üretimi","Probability"]}},{"page_content":"# Random Variable\n\n**Definition:** A mathematical variable that maps the possible outcomes of a random experiment to numerical values.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rastgele-degisken","slug":"rastgele-degisken","lang":"en","title":"Random Variable","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:44.490Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.401Z","tags":["Random Variable","Belirsizlik","Veri Üretimi","Probability"]}},{"page_content":"# Ham Bölge\n\n**Definition:** Kaynak verilerin minimum müdahale ile ilk kabul edildiği veri gölü katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/raw-zone","slug":"raw-zone","lang":"tr","title":"Ham Bölge","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:19.832Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.004Z","tags":["Raw Zone","Data Lake","Source Fidelity","Storage"]}},{"page_content":"# Raw Zone\n\n**Definition:** The data lake layer where source data is first accepted with minimal alteration.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/raw-zone","slug":"raw-zone","lang":"en","title":"Raw Zone","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:19.832Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.004Z","tags":["Raw Zone","Data Lake","Source Fidelity","Storage"]}},{"page_content":"# Yeniden Kimliklendirme\n\n**Definition:** Bir nesne veya kişinin farklı kameralar ya da zaman aralıkları arasında yeniden eşlenmesini sağlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/re-identification","slug":"re-identification","lang":"tr","title":"Yeniden Kimliklendirme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.156Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.226Z","tags":["Re-ID","Tracking","Identity","Multi-Camera"]}},{"page_content":"# Re-Identification\n\n**Definition:** A task that enables the re-matching of an object or person across cameras or separated time intervals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/re-identification","slug":"re-identification","lang":"en","title":"Re-Identification","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:56:07.156Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.226Z","tags":["Re-ID","Tracking","Identity","Multi-Camera"]}},{"page_content":"# Okuduğunu Anlama\n\n**Definition:** Bir metni okuyup içeriğe dayalı anlamlı soruları yanıtlayabilme yeteneğini ölçen görev ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reading-comprehension","slug":"reading-comprehension","lang":"tr","title":"Okuduğunu Anlama","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:59.918Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.111Z","tags":["Reading Comprehension","QA","Language Understanding","NLP"]}},{"page_content":"# Reading Comprehension\n\n**Definition:** A family of tasks that measures the ability to read a text and answer meaningful questions based on its content.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reading-comprehension","slug":"reading-comprehension","lang":"en","title":"Reading Comprehension","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:45:59.918Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.111Z","tags":["Reading Comprehension","QA","Language Understanding","NLP"]}},{"page_content":"# Okuma Sırası Tespiti\n\n**Definition:** Belge içeriğinin insan tarafından hangi sıra ile okunacağını belirleyerek doğru metin akışı oluşturan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reading-order-detection","slug":"reading-order-detection","lang":"tr","title":"Okuma Sırası Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:40.839Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.696Z","tags":["Reading Order","Document AI","Layout Analysis","OCR"]}},{"page_content":"# Reading Order Detection\n\n**Definition:** A task that determines the order in which document content should be read to reconstruct the correct text flow.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reading-order-detection","slug":"reading-order-detection","lang":"en","title":"Reading Order Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:40.839Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.696Z","tags":["Reading Order","Document AI","Layout Analysis","OCR"]}},{"page_content":"# Reaktif Makine\n\n**Definition:** Geçmiş deneyimleri kalıcı biçimde kullanmadan yalnızca mevcut girdiye tepki veren temel yapay zekâ sistemi türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reaktif-makine","slug":"reaktif-makine","lang":"tr","title":"Reaktif Makine","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:53.346Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.499Z","tags":["Reactive Machine","Temel AI","Sistem Türü","Karar"]}},{"page_content":"# Reactive Machine\n\n**Definition:** A basic type of AI system that responds only to current input without persistently using past experience.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reaktif-makine","slug":"reaktif-makine","lang":"en","title":"Reactive Machine","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:53.346Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.499Z","tags":["Reactive Machine","Temel AI","Sistem Türü","Karar"]}},{"page_content":"# Gerçek Zamanlı Feature Hesaplama\n\n**Definition:** Feature değerlerinin önceden hazırlanmak yerine tahmin anına yakın zamanda hesaplandığı yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/real-time-feature-computation","slug":"real-time-feature-computation","lang":"tr","title":"Gerçek Zamanlı Feature Hesaplama","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:29.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.435Z","tags":["Real-Time Features","Feature Store","Serving","Freshness"]}},{"page_content":"# Real-Time Feature Computation\n\n**Definition:** An approach in which feature values are computed close to prediction time instead of being fully precomputed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/real-time-feature-computation","slug":"real-time-feature-computation","lang":"en","title":"Real-Time Feature Computation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:29.461Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.435Z","tags":["Real-Time Features","Feature Store","Serving","Freshness"]}},{"page_content":"# Receptive Field\n\n**Definition:** Bir nöronun veya özellik aktivasyonunun girdide hangi bölgeden bilgi topladığını ifade eden kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/receptive-field","slug":"receptive-field","lang":"tr","title":"Receptive Field","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:56.445Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.059Z","tags":["Receptive Field","CNN","Context","Vision"]}},{"page_content":"# Receptive Field\n\n**Definition:** A concept describing which region of the input contributes information to a neuron or feature activation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/receptive-field","slug":"receptive-field","lang":"en","title":"Receptive Field","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:56.445Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.059Z","tags":["Receptive Field","CNN","Context","Vision"]}},{"page_content":"# Mutabakat Kontrolü\n\n**Definition:** Farklı veri sistemleri veya katmanları arasında kayıt, toplam ve iş mantığı uyumunu doğrulama süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reconciliation-control","slug":"reconciliation-control","lang":"tr","title":"Mutabakat Kontrolü","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:18.683Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.054Z","tags":["Reconciliation","Control","Data Quality","Audit"]}},{"page_content":"# Reconciliation Control\n\n**Definition:** The process of verifying alignment of records, totals, and business logic across different data systems or layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reconciliation-control","slug":"reconciliation-control","lang":"en","title":"Reconciliation Control","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:18.683Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.054Z","tags":["Reconciliation","Control","Data Quality","Audit"]}},{"page_content":"# Kayıt Bağlama\n\n**Definition:** Aynı kişiye, kuruma veya olaya ait kayıtların farklı veri kaynakları arasında ilişkilendirilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/record-linkage","slug":"record-linkage","lang":"tr","title":"Kayıt Bağlama","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:05.488Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.967Z","tags":["Record Linkage","Identity Resolution","Multi-Source Data","Integration"]}},{"page_content":"# Record Linkage\n\n**Definition:** The process of linking records belonging to the same person, organization, or event across multiple data sources.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/record-linkage","slug":"record-linkage","lang":"en","title":"Record Linkage","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:05.488Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.967Z","tags":["Record Linkage","Identity Resolution","Multi-Source Data","Integration"]}},{"page_content":"# Tekrarlayan Sinir Ağı\n\n**Definition:** Geçmiş zaman adımlarından bilgi taşıyarak sıralı verileri modelleyen temel sinir ağı ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/recurrent-neural-network","slug":"recurrent-neural-network","lang":"tr","title":"Tekrarlayan Sinir Ağı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:24.669Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.237Z","tags":["RNN","Sequence Modeling","Temporal Data","Deep Learning"]}},{"page_content":"# Recurrent Neural Network\n\n**Definition:** A foundational neural network family that models sequential data by carrying information from past time steps.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/recurrent-neural-network","slug":"recurrent-neural-network","lang":"en","title":"Recurrent Neural Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:24.669Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.237Z","tags":["RNN","Sequence Modeling","Temporal Data","Deep Learning"]}},{"page_content":"# RNN-Transducer\n\n**Definition:** Akış tabanlı konuşma tanımada düşük gecikme ve güçlü doğruluk dengesi sağlayan uçtan uca ASR mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/recurrent-neural-network-transducer","slug":"recurrent-neural-network-transducer","lang":"tr","title":"RNN-Transducer","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:53.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.719Z","tags":["RNN-T","Streaming ASR","End-to-End Speech","Audio AI"]}},{"page_content":"# RNN-Transducer\n\n**Definition:** An end-to-end ASR architecture that provides a strong balance between low latency and accuracy in streaming speech recognition.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/recurrent-neural-network-transducer","slug":"recurrent-neural-network-transducer","lang":"en","title":"RNN-Transducer","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:44:53.588Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.719Z","tags":["RNN-T","Streaming ASR","End-to-End Speech","Audio AI"]}},{"page_content":"# Referans Veri Yönetimi\n\n**Definition:** Kod listeleri, sınıflar ve ortak sözlükler gibi kontrollü veri kümelerinin merkezi ve tutarlı yönetimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reference-data-management","slug":"reference-data-management","lang":"tr","title":"Referans Veri Yönetimi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:18:54.750Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.342Z","tags":["Reference Data","Governance","Semantics","Controlled Values"]}},{"page_content":"# Reference Data Management\n\n**Definition:** The centralized and consistent management of controlled data sets such as code lists, classes, and shared dictionaries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reference-data-management","slug":"reference-data-management","lang":"en","title":"Reference Data Management","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:18:54.750Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.342Z","tags":["Reference Data","Governance","Semantics","Controlled Values"]}},{"page_content":"# Referans İfade Anlama\n\n**Definition:** Doğal dilde verilen belirli bir tanımı görüntü içindeki doğru bölgeyle eşleştirme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/referring-expression-comprehension","slug":"referring-expression-comprehension","lang":"tr","title":"Referans İfade Anlama","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:39.481Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.758Z","tags":["Referring Expressions","Grounding","Vision-Language","Multimodal Understanding"]}},{"page_content":"# Referring Expression Comprehension\n\n**Definition:** A task that matches a natural language description to the correct region in an image.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/referring-expression-comprehension","slug":"referring-expression-comprehension","lang":"en","title":"Referring Expression Comprehension","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:39.481Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.758Z","tags":["Referring Expressions","Grounding","Vision-Language","Multimodal Understanding"]}},{"page_content":"# İnsan Geri Bildiriminden Pekiştirmeli Öğrenme\n\n**Definition:** Model çıktısını insan tercihleriyle uyumlu hale getirmek için ödül sinyali kullanan alignment yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reinforcement-learning-from-human-feedback","slug":"reinforcement-learning-from-human-feedback","lang":"tr","title":"İnsan Geri Bildiriminden Pekiştirmeli Öğrenme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:41:08.127Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.677Z","tags":["RLHF","Alignment","Human Feedback","LLM"]}},{"page_content":"# Reinforcement Learning from Human Feedback\n\n**Definition:** An alignment approach that uses reward signals to make model outputs more consistent with human preferences.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reinforcement-learning-from-human-feedback","slug":"reinforcement-learning-from-human-feedback","lang":"en","title":"Reinforcement Learning from Human Feedback","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:41:08.127Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.677Z","tags":["RLHF","Alignment","Human Feedback","LLM"]}},{"page_content":"# İlişki Çıkarımı\n\n**Definition:** Metindeki varlıklar arasında anlamlı ilişki türlerini belirleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/relation-extraction","slug":"relation-extraction","lang":"tr","title":"İlişki Çıkarımı","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:21:17.401Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.021Z","tags":["Relation Extraction","Knowledge Graphs","Information Extraction","NLP"]}},{"page_content":"# Relation Extraction\n\n**Definition:** The task of identifying meaningful relation types between entities mentioned in text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/relation-extraction","slug":"relation-extraction","lang":"en","title":"Relation Extraction","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:21:17.401Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.021Z","tags":["Relation Extraction","Knowledge Graphs","Information Extraction","NLP"]}},{"page_content":"# ReLU Aktivasyon\n\n**Definition:** Negatif girdileri sıfırlayıp pozitif girdileri doğrusal bırakan en yaygın modern aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/relu-activation","slug":"relu-activation","lang":"tr","title":"ReLU Aktivasyon","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:21.921Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.034Z","tags":["ReLU","Activation Function","CNN","Optimization"]}},{"page_content":"# ReLU Activation\n\n**Definition:** The most common modern activation function, which zeros negative inputs and leaves positive inputs linear.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/relu-activation","slug":"relu-activation","lang":"en","title":"ReLU Activation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:21.921Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.034Z","tags":["ReLU","Activation Function","CNN","Optimization"]}},{"page_content":"# Reparameterization Trick\n\n**Definition:** Rastgele örnekleme içeren latent değişken modellerini diferansiyellenebilir hale getiren temel VAE tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reparameterization-trick","slug":"reparameterization-trick","lang":"tr","title":"Reparameterization Trick","category":"derin-ogrenme","updatedAt":"2026-06-27T22:47:59.438Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.972Z","tags":["Reparameterization","VAE","Latent Variables","Generative Models"]}},{"page_content":"# Reparameterization Trick\n\n**Definition:** A core VAE technique that makes latent-variable models with stochastic sampling differentiable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reparameterization-trick","slug":"reparameterization-trick","lang":"en","title":"Reparameterization Trick","category":"derin-ogrenme","updatedAt":"2026-06-27T22:47:59.438Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.972Z","tags":["Reparameterization","VAE","Latent Variables","Generative Models"]}},{"page_content":"# Reranking\n\n**Definition:** İlk retrieval aşamasından gelen adayları daha güçlü modelle yeniden sıralayan ikinci aşama kalite artırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reranking","slug":"reranking","lang":"tr","title":"Reranking","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:31:03.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.565Z","tags":["Reranking","Retrieval","RAG","Search Quality"]}},{"page_content":"# Reranking\n\n**Definition:** A second-stage quality-improvement method that reranks candidates from the first retrieval stage using a stronger model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reranking","slug":"reranking","lang":"en","title":"Reranking","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:31:03.999Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.565Z","tags":["Reranking","Retrieval","RAG","Search Quality"]}},{"page_content":"# Yeniden Çalıştırma Stratejisi\n\n**Definition:** Başarısız veya eksik veri işlerinin hangi kapsamda ve hangi güvenlik kurallarıyla tekrar çalıştırılacağını belirleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rerun-strategy","slug":"rerun-strategy","lang":"tr","title":"Yeniden Çalıştırma Stratejisi","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:58:24.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.654Z","tags":["Rerun Strategy","Recovery","Pipelines","Idempotency"]}},{"page_content":"# Rerun Strategy\n\n**Definition:** An approach that defines how failed or incomplete data jobs should be rerun and under what safety rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rerun-strategy","slug":"rerun-strategy","lang":"en","title":"Rerun Strategy","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:58:24.867Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.654Z","tags":["Rerun Strategy","Recovery","Pipelines","Idempotency"]}},{"page_content":"# Residual Blok\n\n**Definition:** Kimlik bağlantıları ile bilgiyi doğrudan taşıyarak derin CNN eğitimini kolaylaştıran yapı taşı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/residual-block","slug":"residual-block","lang":"tr","title":"Residual Blok","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:44.335Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.148Z","tags":["Residual Block","ResNet","CNN","Gradient Flow"]}},{"page_content":"# Residual Block\n\n**Definition:** A building block that eases the training of deep CNNs by carrying information directly through identity connections.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/residual-block","slug":"residual-block","lang":"en","title":"Residual Block","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:44.335Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.148Z","tags":["Residual Block","ResNet","CNN","Gradient Flow"]}},{"page_content":"# Saklama Politikası\n\n**Definition:** Verinin ne kadar süre tutulacağını, ne zaman arşivleneceğini veya silineceğini tanımlayan yönetişim ilkesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/retention-policy","slug":"retention-policy","lang":"tr","title":"Saklama Politikası","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:59.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.447Z","tags":["Retention Policy","Lifecycle","Governance","Compliance"]}},{"page_content":"# Retention Policy\n\n**Definition:** A governance policy that defines how long data is retained, and when it should be archived or deleted.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/retention-policy","slug":"retention-policy","lang":"en","title":"Retention Policy","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:44:59.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.447Z","tags":["Retention Policy","Lifecycle","Governance","Compliance"]}},{"page_content":"# Retrieval-Augmented Generation\n\n**Definition:** Model üretimini dış bilgi kaynaklarıyla destekleyerek daha güncel ve dayanaklı yanıtlar üretmeyi amaçlayan mimari yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/retrieval-augmented-generation","slug":"retrieval-augmented-generation","lang":"tr","title":"Retrieval-Augmented Generation","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:49.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:16.001Z","tags":["RAG","Prompting","Retrieval","Grounded Generation"]}},{"page_content":"# Retrieval-Augmented Generation\n\n**Definition:** An architectural approach that supports model generation with external knowledge sources to produce more current and grounded answers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/retrieval-augmented-generation","slug":"retrieval-augmented-generation","lang":"en","title":"Retrieval-Augmented Generation","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:49.784Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:16.001Z","tags":["RAG","Prompting","Retrieval","Grounded Generation"]}},{"page_content":"# Reverse ETL\n\n**Definition:** Analitik platformlarda hazırlanmış verinin tekrar operasyonel sistemlere geri taşınmasını sağlayan entegrasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reverse-etl","slug":"reverse-etl","lang":"tr","title":"Reverse ETL","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:18.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.120Z","tags":["Reverse ETL","Operational Analytics","Activation","CRM"]}},{"page_content":"# Reverse ETL\n\n**Definition:** An integration approach that moves curated data from analytics platforms back into operational systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reverse-etl","slug":"reverse-etl","lang":"en","title":"Reverse ETL","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:18.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.120Z","tags":["Reverse ETL","Operational Analytics","Activation","CRM"]}},{"page_content":"# Ödül Modeli\n\n**Definition:** Model çıktılarının ne kadar tercih edilir olduğunu tahmin ederek hizalama sürecine sinyal sağlayan yardımcı model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/reward-model","slug":"reward-model","lang":"tr","title":"Ödül Modeli","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:43.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.942Z","tags":["Reward Model","RLHF","Alignment","Preference Modeling"]}},{"page_content":"# Reward Model\n\n**Definition:** An auxiliary model that estimates how preferable generated outputs are and provides signals for alignment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/reward-model","slug":"reward-model","lang":"en","title":"Reward Model","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:43.665Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.942Z","tags":["Reward Model","RLHF","Alignment","Preference Modeling"]}},{"page_content":"# Ridge Regresyon\n\n**Definition:** Katsayı büyüklüklerini cezalandırarak aşırı uyumu azaltan L2 düzenlileştirmeli regresyon yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ridge-regression","slug":"ridge-regression","lang":"tr","title":"Ridge Regresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:14.778Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:46.957Z","tags":["Ridge Regression","L2","Regularization","Generalization"]}},{"page_content":"# Ridge Regression\n\n**Definition:** A regression method with L2 regularization that reduces overfitting by penalizing coefficient magnitude.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ridge-regression","slug":"ridge-regression","lang":"en","title":"Ridge Regression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:37:14.778Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:46.957Z","tags":["Ridge Regression","L2","Regularization","Generalization"]}},{"page_content":"# Rıza Yönetimi\n\n**Definition:** Kişisel verilerin hangi amaçlarla, hangi kapsamda ve hangi süreyle işlenebileceğinin onay temelli yönetimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/riza-yonetimi","slug":"riza-yonetimi","lang":"tr","title":"Rıza Yönetimi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:31.730Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.886Z","tags":["Consent Management","Privacy","Compliance","Personal Data"]}},{"page_content":"# Consent Management\n\n**Definition:** The consent-based management of the purposes, scope, and duration under which personal data may be processed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/riza-yonetimi","slug":"riza-yonetimi","lang":"en","title":"Consent Management","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:31.730Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.886Z","tags":["Consent Management","Privacy","Compliance","Personal Data"]}},{"page_content":"# Robust Kovaryans Tabanlı Anomali Tespiti\n\n**Definition:** Aykırı değerlere daha dayanıklı kovaryans tahmini üzerinden anomali tespiti yapan istatistiksel yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/robust-covariance","slug":"robust-covariance","lang":"tr","title":"Robust Kovaryans Tabanlı Anomali Tespiti","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:07.833Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.113Z","tags":["Robust Covariance","Anomaly Detection","Mahalanobis","Multivariate"]}},{"page_content":"# Robust Covariance Anomaly Detection\n\n**Definition:** A statistical approach that performs anomaly detection through covariance estimation that is more robust to outliers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/robust-covariance","slug":"robust-covariance","lang":"en","title":"Robust Covariance Anomaly Detection","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:07.833Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.113Z","tags":["Robust Covariance","Anomaly Detection","Mahalanobis","Multivariate"]}},{"page_content":"# ROC-AUC\n\n**Definition:** Sınıflandırma modelinin farklı eşiklerde pozitif-negatif ayrımı yapma gücünü özetleyen yaygın karşılaştırma metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/roc-auc","slug":"roc-auc","lang":"tr","title":"ROC-AUC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:20.360Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.962Z","tags":["ROC-AUC","Classification","Evaluation","Model Comparison"]}},{"page_content":"# ROC-AUC\n\n**Definition:** A widely used comparison metric that summarizes a classifier’s ability to separate positives and negatives across thresholds.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/roc-auc","slug":"roc-auc","lang":"en","title":"ROC-AUC","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:20.360Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.962Z","tags":["ROC-AUC","Classification","Evaluation","Model Comparison"]}},{"page_content":"# Kayan Pencere Özellikleri\n\n**Definition:** Belirli bir zaman penceresindeki geçmiş gözlemleri özetleyerek zaman bağımlı sinyaller üreten özellik yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rolling-window-features","slug":"rolling-window-features","lang":"tr","title":"Kayan Pencere Özellikleri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:22:31.783Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.949Z","tags":["Rolling Features","Time Series","Behavior Data","Feature Engineering"]}},{"page_content":"# Rolling Window Features\n\n**Definition:** A feature structure that summarizes past observations within a defined window to generate time-dependent signals.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rolling-window-features","slug":"rolling-window-features","lang":"en","title":"Rolling Window Features","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:22:31.783Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.949Z","tags":["Rolling Features","Time Series","Behavior Data","Feature Engineering"]}},{"page_content":"# Rotary Positional Embedding\n\n**Definition:** Konum bilgisini vektör uzayında döndürme işlemleriyle kodlayan modern pozisyon temsil yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/rotary-positional-embedding","slug":"rotary-positional-embedding","lang":"tr","title":"Rotary Positional Embedding","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:46.445Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.184Z","tags":["RoPE","Transformers","Positional Encoding","LLM"]}},{"page_content":"# Rotary Positional Embedding\n\n**Definition:** A modern positional representation method that encodes order information through rotations in vector space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/rotary-positional-embedding","slug":"rotary-positional-embedding","lang":"en","title":"Rotary Positional Embedding","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:46.445Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.184Z","tags":["RoPE","Transformers","Positional Encoding","LLM"]}},{"page_content":"# Eyer Noktası\n\n**Definition:** Bazı yönlerde minimuma, bazı yönlerde maksimuma benzeyen ve optimizasyonu zorlaştırabilen nokta türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/saddle-point","slug":"saddle-point","lang":"tr","title":"Eyer Noktası","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:19.121Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.337Z","tags":["Saddle Point","Loss Surface","Optimization","Geometry"]}},{"page_content":"# Saddle Point\n\n**Definition:** A type of point that behaves like a minimum in some directions and a maximum in others, often complicating optimization.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/saddle-point","slug":"saddle-point","lang":"en","title":"Saddle Point","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:39:19.121Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:51.337Z","tags":["Saddle Point","Loss Surface","Optimization","Geometry"]}},{"page_content":"# Örnekleme Oranı Dönüşümü\n\n**Definition:** Ses sinyalini farklı örnekleme hızlarına uyarlayarak model ve sistem uyumluluğu sağlayan işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sample-rate-conversion","slug":"sample-rate-conversion","lang":"tr","title":"Örnekleme Oranı Dönüşümü","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:56.015Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.950Z","tags":["Sample Rate","Audio Processing","Signal Conversion","Preprocessing"]}},{"page_content":"# Sample Rate Conversion\n\n**Definition:** A process that adapts an audio signal to different sampling rates for model and system compatibility.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sample-rate-conversion","slug":"sample-rate-conversion","lang":"en","title":"Sample Rate Conversion","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:56.015Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.950Z","tags":["Sample Rate","Audio Processing","Signal Conversion","Preprocessing"]}},{"page_content":"# Örnekleme\n\n**Definition:** Modelin öğrendiği dağılımdan yeni çıktı üretirken olasılıksal seçimler yapma süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sampling","slug":"sampling","lang":"tr","title":"Örnekleme","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:25.139Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.447Z","tags":["Sampling","Generation","Decoding","Probability"]}},{"page_content":"# Sampling\n\n**Definition:** The process of making probabilistic choices from a learned distribution while generating new output.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sampling","slug":"sampling","lang":"en","title":"Sampling","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:25.139Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.447Z","tags":["Sampling","Generation","Decoding","Probability"]}},{"page_content":"# SARIMA\n\n**Definition:** Mevsimsel bileşenleri de içeren genişletilmiş ARIMA modeli.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sarima","slug":"sarima","lang":"tr","title":"SARIMA","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:03.567Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.465Z","tags":["SARIMA","Time Series","Seasonality","Forecasting"]}},{"page_content":"# SARIMA\n\n**Definition:** An extended ARIMA model that also includes seasonal components.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sarima","slug":"sarima","lang":"en","title":"SARIMA","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:38:03.567Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.465Z","tags":["SARIMA","Time Series","Seasonality","Forecasting"]}},{"page_content":"# Ölçeklenmiş Noktasal Çarpım Attention\n\n**Definition:** Sorgu ve anahtar vektörleri arasındaki benzerliği ölçekleyerek dikkat ağırlıkları üreten temel Transformer işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/scaled-dot-product-attention","slug":"scaled-dot-product-attention","lang":"tr","title":"Ölçeklenmiş Noktasal Çarpım Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:34.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.653Z","tags":["Scaled Dot-Product Attention","Transformers","Attention","Queries and Keys"]}},{"page_content":"# Scaled Dot-Product Attention\n\n**Definition:** The fundamental Transformer operation that computes attention weights by scaling similarity between query and key vectors.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/scaled-dot-product-attention","slug":"scaled-dot-product-attention","lang":"en","title":"Scaled Dot-Product Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:45:34.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.653Z","tags":["Scaled Dot-Product Attention","Transformers","Attention","Queries and Keys"]}},{"page_content":"# Ölçekleme Yasaları\n\n**Definition:** Model boyutu, veri miktarı ve hesaplama arttıkça performansın nasıl değiştiğini açıklayan gözlemsel kurallar bütünü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/scaling-laws","slug":"scaling-laws","lang":"tr","title":"Ölçekleme Yasaları","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:43:05.738Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.806Z","tags":["Scaling Laws","Compute","Foundation Models","Optimization"]}},{"page_content":"# Scaling Laws\n\n**Definition:** A set of empirical regularities describing how performance changes as model size, data, and compute increase.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/scaling-laws","slug":"scaling-laws","lang":"en","title":"Scaling Laws","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:43:05.738Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.806Z","tags":["Scaling Laws","Compute","Foundation Models","Optimization"]}},{"page_content":"# Scheduled Sampling\n\n**Definition:** Teacher forcing kullanımını kademeli azaltarak eğitim ve çıkarım koşullarını birbirine yaklaştıran yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/scheduled-sampling","slug":"scheduled-sampling","lang":"tr","title":"Scheduled Sampling","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:03.145Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.064Z","tags":["Scheduled Sampling","Teacher Forcing","Sequence Models","Training Strategy"]}},{"page_content":"# Scheduled Sampling\n\n**Definition:** A method that gradually reduces teacher forcing to bring training conditions closer to inference conditions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/scheduled-sampling","slug":"scheduled-sampling","lang":"en","title":"Scheduled Sampling","category":"derin-ogrenme","updatedAt":"2026-06-27T23:38:03.145Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.064Z","tags":["Scheduled Sampling","Teacher Forcing","Sequence Models","Training Strategy"]}},{"page_content":"# Şema Kayması\n\n**Definition:** Veri yapısının zaman içinde değişmesi nedeniyle mevcut işleme ve analiz süreçlerinin bozulması riski.","metadata":{"source":"https://sukruyusufkaya.com/glossary/schema-drift","slug":"schema-drift","lang":"tr","title":"Şema Kayması","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:26:08.026Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.870Z","tags":["Schema Drift","Observability","Contracts","Pipelines"]}},{"page_content":"# Schema Drift\n\n**Definition:** The risk that changes in data structure over time will break existing processing and analytics workflows.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/schema-drift","slug":"schema-drift","lang":"en","title":"Schema Drift","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T21:26:08.026Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.870Z","tags":["Schema Drift","Observability","Contracts","Pipelines"]}},{"page_content":"# Schema-on-Read\n\n**Definition:** Veri yazılırken değil, okunurken şema uygulanmasını esas alan esnek veri işleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/schema-on-read","slug":"schema-on-read","lang":"tr","title":"Schema-on-Read","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:16.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.010Z","tags":["Schema-on-Read","Data Lake","Flexibility","Raw Data"]}},{"page_content":"# Schema-on-Read\n\n**Definition:** A flexible data-processing approach in which schema is applied when data is read rather than when it is written.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/schema-on-read","slug":"schema-on-read","lang":"en","title":"Schema-on-Read","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:16.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.010Z","tags":["Schema-on-Read","Data Lake","Flexibility","Raw Data"]}},{"page_content":"# Skor Normalizasyonu\n\n**Definition:** Konuşmacı doğrulama sistemlerinde benzerlik skorlarını daha kararlı ve karşılaştırılabilir hale getiren işlem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/score-normalization","slug":"score-normalization","lang":"tr","title":"Skor Normalizasyonu","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:24.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.663Z","tags":["Score Normalization","Speaker Verification","Biometrics","Calibration"]}},{"page_content":"# Score Normalization\n\n**Definition:** A process that makes similarity scores in speaker verification systems more stable and comparable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/score-normalization","slug":"score-normalization","lang":"en","title":"Score Normalization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:24.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.663Z","tags":["Score Normalization","Speaker Verification","Biometrics","Calibration"]}},{"page_content":"# Self-Attention\n\n**Definition:** Bir sekans içindeki her öğenin diğer öğelerle ilişkisini doğrudan modelleyen dikkat mekanizması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/self-attention","slug":"self-attention","lang":"tr","title":"Self-Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:14.340Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.703Z","tags":["Self-Attention","Transformers","Context","NLP"]}},{"page_content":"# Self-Attention\n\n**Definition:** An attention mechanism in which each element in a sequence directly models its relationship with all others.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/self-attention","slug":"self-attention","lang":"en","title":"Self-Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:14.340Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:18.703Z","tags":["Self-Attention","Transformers","Context","NLP"]}},{"page_content":"# Kendinden Denetimli Görsel Özellikler\n\n**Definition:** Etiket gerektirmeden öğrenilen ve çok sayıda aşağı akış görü görevinde yeniden kullanılabilen görsel temsiller.","metadata":{"source":"https://sukruyusufkaya.com/glossary/self-supervised-visual-features","slug":"self-supervised-visual-features","lang":"tr","title":"Kendinden Denetimli Görsel Özellikler","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:21.321Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.125Z","tags":["Self-Supervised Learning","Visual Features","Representation Learning","Vision"]}},{"page_content":"# Self-Supervised Visual Features\n\n**Definition:** Visual representations learned without labels that can be reused across many downstream vision tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/self-supervised-visual-features","slug":"self-supervised-visual-features","lang":"en","title":"Self-Supervised Visual Features","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:21.321Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.125Z","tags":["Self-Supervised Learning","Visual Features","Representation Learning","Vision"]}},{"page_content":"# SELU Aktivasyonu\n\n**Definition:** Kendi kendini normalize eden ağ davranışını desteklemek amacıyla tasarlanmış aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/selu-activation","slug":"selu-activation","lang":"tr","title":"SELU Aktivasyonu","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:48.679Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.336Z","tags":["SELU","Activation Function","Self-Normalizing Networks","Optimization"]}},{"page_content":"# SELU Activation\n\n**Definition:** An activation function designed to support self-normalizing network behavior.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/selu-activation","slug":"selu-activation","lang":"en","title":"SELU Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:48.679Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:45.336Z","tags":["SELU","Activation Function","Self-Normalizing Networks","Optimization"]}},{"page_content":"# Semantik Önbellekleme\n\n**Definition:** Aynı veya benzer anlamdaki sorgular için önceki yanıtları yeniden kullanarak maliyet ve gecikmeyi azaltan sistem yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semantic-caching","slug":"semantic-caching","lang":"tr","title":"Semantik Önbellekleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:56:06.475Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.631Z","tags":["Semantic Caching","LLM Systems","RAG","Latency Optimization"]}},{"page_content":"# Semantic Caching\n\n**Definition:** A system approach that reduces latency and cost by reusing prior answers for semantically identical or similar queries.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semantic-caching","slug":"semantic-caching","lang":"en","title":"Semantic Caching","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:56:06.475Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:15.631Z","tags":["Semantic Caching","LLM Systems","RAG","Latency Optimization"]}},{"page_content":"# Semantik Katman\n\n**Definition:** İş metriklerini, tanımları ve sorgu mantığını teknik veri yapılarının üzerinde tutarlı biçimde soyutlayan katman.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semantic-layer","slug":"semantic-layer","lang":"tr","title":"Semantik Katman","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:41:16.832Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.631Z","tags":["Semantic Layer","Metrics","BI","Consistency"]}},{"page_content":"# Semantic Layer\n\n**Definition:** A layer that abstracts business metrics, definitions, and query logic consistently above technical data structures.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semantic-layer","slug":"semantic-layer","lang":"en","title":"Semantic Layer","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:41:16.832Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.631Z","tags":["Semantic Layer","Metrics","BI","Consistency"]}},{"page_content":"# Semantik Lineage\n\n**Definition:** Veri varlıklarının yalnızca teknik değil, iş anlamı düzeyinde nasıl türetildiğini ve bağlandığını gösteren lineage yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semantic-lineage","slug":"semantic-lineage","lang":"tr","title":"Semantik Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:53.731Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.554Z","tags":["Semantic Lineage","Business Meaning","KPI","Governance"]}},{"page_content":"# Semantic Lineage\n\n**Definition:** A lineage approach that shows how data assets are derived and connected not only technically, but also at the business-meaning level.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semantic-lineage","slug":"semantic-lineage","lang":"en","title":"Semantic Lineage","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:53.731Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:24.554Z","tags":["Semantic Lineage","Business Meaning","KPI","Governance"]}},{"page_content":"# Semantik Segmentasyon\n\n**Definition:** Görüntüdeki her piksele sınıf etiketi atayarak sahnenin piksel düzeyinde anlaşılmasını sağlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semantic-segmentation","slug":"semantic-segmentation","lang":"tr","title":"Semantik Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:48:04.167Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.114Z","tags":["Semantic Segmentation","Pixel-Level Vision","Scene Understanding","CV"]}},{"page_content":"# Semantic Segmentation\n\n**Definition:** A task that assigns a class label to every pixel in an image for pixel-level scene understanding.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semantic-segmentation","slug":"semantic-segmentation","lang":"en","title":"Semantic Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:48:04.167Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.114Z","tags":["Semantic Segmentation","Pixel-Level Vision","Scene Understanding","CV"]}},{"page_content":"# Semantik Metinsel Benzerlik\n\n**Definition:** İki metnin yüzeysel eşleşmeden bağımsız olarak anlam bakımından ne kadar yakın olduğunu ölçen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semantic-textual-similarity","slug":"semantic-textual-similarity","lang":"tr","title":"Semantik Metinsel Benzerlik","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:45.265Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.657Z","tags":["STS","Semantic Similarity","Sentence Embeddings","NLP"]}},{"page_content":"# Semantic Textual Similarity\n\n**Definition:** A task that measures how semantically close two texts are regardless of surface-level overlap.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semantic-textual-similarity","slug":"semantic-textual-similarity","lang":"en","title":"Semantic Textual Similarity","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:45.265Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.657Z","tags":["STS","Semantic Similarity","Sentence Embeddings","NLP"]}},{"page_content":"# Sembolik Yapay Zekâ\n\n**Definition:** Bilgiyi kurallar, semboller ve mantıksal ifadelerle temsil ederek çıkarım yapan klasik yapay zekâ yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sembolik-yapay-zeka","slug":"sembolik-yapay-zeka","lang":"tr","title":"Sembolik Yapay Zekâ","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:25.149Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.316Z","tags":["Symbolic AI","Kurallar","Mantık","Klasik AI"]}},{"page_content":"# Symbolic AI\n\n**Definition:** A classical AI approach that performs inference by representing knowledge with rules, symbols, and logical expressions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sembolik-yapay-zeka","slug":"sembolik-yapay-zeka","lang":"en","title":"Symbolic AI","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:25.149Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.316Z","tags":["Symbolic AI","Kurallar","Mantık","Klasik AI"]}},{"page_content":"# Yarı Denetimli Segmentasyon\n\n**Definition:** Az sayıdaki etiketli örnek ile çok sayıdaki etiketsiz görüntüyü birlikte kullanarak segmentasyon kalitesini artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/semi-supervised-segmentation","slug":"semi-supervised-segmentation","lang":"tr","title":"Yarı Denetimli Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:12.401Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.587Z","tags":["Semi-Supervised Segmentation","Pseudo-Labels","Scalable Vision","Training"]}},{"page_content":"# Semi-Supervised Segmentation\n\n**Definition:** An approach that improves segmentation quality by using a small set of labeled examples together with many unlabeled images.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/semi-supervised-segmentation","slug":"semi-supervised-segmentation","lang":"en","title":"Semi-Supervised Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:54:12.401Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.587Z","tags":["Semi-Supervised Segmentation","Pseudo-Labels","Scalable Vision","Training"]}},{"page_content":"# Cümle Sınırı Tespiti\n\n**Definition:** Metindeki cümle başlangıç ve bitişlerini güvenilir biçimde belirleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentence-boundary-detection","slug":"sentence-boundary-detection","lang":"tr","title":"Cümle Sınırı Tespiti","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:43:10.954Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.595Z","tags":["Sentence Segmentation","Preprocessing","Documents","NLP Pipeline"]}},{"page_content":"# Sentence Boundary Detection\n\n**Definition:** The task of reliably identifying sentence starts and boundaries in text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentence-boundary-detection","slug":"sentence-boundary-detection","lang":"en","title":"Sentence Boundary Detection","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:43:10.954Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.595Z","tags":["Sentence Segmentation","Preprocessing","Documents","NLP Pipeline"]}},{"page_content":"# Cümle Embedding\n\n**Definition:** Cümle veya kısa metin düzeyinde anlamsal temsil üretmeye odaklanan embedding yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentence-embeddings","slug":"sentence-embeddings","lang":"tr","title":"Cümle Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:59.293Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.581Z","tags":["Sentence Embeddings","Semantic Search","Retrieval","Similarity"]}},{"page_content":"# Sentence Embeddings\n\n**Definition:** An embedding approach focused on producing semantic representations at the sentence or short-text level.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentence-embeddings","slug":"sentence-embeddings","lang":"en","title":"Sentence Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:59.293Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.581Z","tags":["Sentence Embeddings","Semantic Search","Retrieval","Similarity"]}},{"page_content":"# SentencePiece\n\n**Definition:** Boşluk bağımlılığı olmadan ham metinden alt kelime sözlüğü öğrenebilen tokenization çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentencepiece","slug":"sentencepiece","lang":"tr","title":"SentencePiece","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:45.704Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.030Z","tags":["SentencePiece","Tokenization","Subword Vocabulary","Multilingual"]}},{"page_content":"# SentencePiece\n\n**Definition:** A tokenization framework that can learn subword vocabularies from raw text without relying on whitespace segmentation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentencepiece","slug":"sentencepiece","lang":"en","title":"SentencePiece","category":"dogal-dil-isleme","updatedAt":"2026-06-28T00:46:45.704Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.030Z","tags":["SentencePiece","Tokenization","Subword Vocabulary","Multilingual"]}},{"page_content":"# Sentetik Veri\n\n**Definition:** Gerçek veri dağılımını taklit edecek biçimde yapay olarak üretilen ve analiz veya modelleme amacıyla kullanılan veri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentetik-veri","slug":"sentetik-veri","lang":"tr","title":"Sentetik Veri","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:44.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.088Z","tags":["Synthetic Data","Privacy","Simulation","Data Generation"]}},{"page_content":"# Synthetic Data\n\n**Definition:** Artificially generated data designed to imitate real data distributions for analysis or modeling purposes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentetik-veri","slug":"sentetik-veri","lang":"en","title":"Synthetic Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:44.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.088Z","tags":["Synthetic Data","Privacy","Simulation","Data Generation"]}},{"page_content":"# Sentetik Veri Fidelity\n\n**Definition:** Sentetik verinin gerçek verinin istatistiksel, yapısal ve kullanım amaçlı özelliklerini ne kadar iyi koruduğunu gösteren nitelik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentetik-veri-fidelity","slug":"sentetik-veri-fidelity","lang":"tr","title":"Sentetik Veri Fidelity","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:32.372Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.369Z","tags":["Synthetic Data Fidelity","Quality","Evaluation","Representation"]}},{"page_content":"# Synthetic Data Fidelity\n\n**Definition:** A property indicating how well synthetic data preserves the statistical, structural, and use-case-relevant characteristics of real data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentetik-veri-fidelity","slug":"sentetik-veri-fidelity","lang":"en","title":"Synthetic Data Fidelity","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:32.372Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.369Z","tags":["Synthetic Data Fidelity","Quality","Evaluation","Representation"]}},{"page_content":"# Sentetik Veri Sızıntısı\n\n**Definition:** Sentetik verinin gerçek veriden aşırı iz taşıması nedeniyle mahremiyet veya üyelik bilgisini sızdırma riski.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentetik-veri-sizintisi","slug":"sentetik-veri-sizintisi","lang":"tr","title":"Sentetik Veri Sızıntısı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:54.349Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.445Z","tags":["Synthetic Data Leakage","Privacy Risk","Membership Inference","Synthetic Data"]}},{"page_content":"# Synthetic Data Leakage\n\n**Definition:** A risk in which synthetic data leaks membership or privacy-sensitive information because it preserves too much trace of the real data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentetik-veri-sizintisi","slug":"sentetik-veri-sizintisi","lang":"en","title":"Synthetic Data Leakage","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:54.349Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.445Z","tags":["Synthetic Data Leakage","Privacy Risk","Membership Inference","Synthetic Data"]}},{"page_content":"# Duygu Analizi\n\n**Definition:** Metindeki olumlu, olumsuz veya nötr duygusal yönelimi belirlemeye odaklanan NLP görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sentiment-analysis","slug":"sentiment-analysis","lang":"tr","title":"Duygu Analizi","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:57.280Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.385Z","tags":["Sentiment Analysis","Customer Feedback","Social Media","NLP"]}},{"page_content":"# Sentiment Analysis\n\n**Definition:** An NLP task focused on determining the positive, negative, or neutral emotional orientation of a text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sentiment-analysis","slug":"sentiment-analysis","lang":"en","title":"Sentiment Analysis","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:57.280Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.385Z","tags":["Sentiment Analysis","Customer Feedback","Social Media","NLP"]}},{"page_content":"# Seq2Seq Öğrenme\n\n**Definition:** Bir giriş sekansını başka bir çıktı sekansına dönüştürmeye odaklanan genel modelleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/seq2seq-learning","slug":"seq2seq-learning","lang":"tr","title":"Seq2Seq Öğrenme","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:06.189Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.795Z","tags":["Seq2Seq","Structured Generation","RNN","Transformer Era"]}},{"page_content":"# Sequence-to-Sequence Learning\n\n**Definition:** A general modeling approach focused on converting one input sequence into another output sequence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/seq2seq-learning","slug":"seq2seq-learning","lang":"en","title":"Sequence-to-Sequence Learning","category":"derin-ogrenme","updatedAt":"2026-06-28T00:45:06.189Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.795Z","tags":["Seq2Seq","Structured Generation","RNN","Transformer Era"]}},{"page_content":"# Oturum Tabanlı Öneri\n\n**Definition:** Uzun dönem kullanıcı geçmişi yerine mevcut oturum içindeki davranış akışına dayalı öneri yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/session-based-recommendation","slug":"session-based-recommendation","lang":"tr","title":"Oturum Tabanlı Öneri","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:13.794Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.376Z","tags":["Session-Based Recommendation","Recommendation","Anonymous Users","Short-Term Intent"]}},{"page_content":"# Session-Based Recommendation\n\n**Definition:** A recommendation approach based on the behavior flow within the current session rather than long-term user history.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/session-based-recommendation","slug":"session-based-recommendation","lang":"en","title":"Session-Based Recommendation","category":"makine-ogrenmesi","updatedAt":"2026-06-27T21:21:13.794Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.376Z","tags":["Session-Based Recommendation","Recommendation","Anonymous Users","Short-Term Intent"]}},{"page_content":"# Sezgisel Yöntem\n\n**Definition:** En iyi çözümü garanti etmese de, pratikte daha hızlı ve yeterince iyi sonuçlara ulaşmayı sağlayan rehber yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sezgisel-yontem","slug":"sezgisel-yontem","lang":"tr","title":"Sezgisel Yöntem","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:41:45.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.033Z","tags":["Heuristic","Arama","Optimizasyon","Verimlilik"]}},{"page_content":"# Heuristic\n\n**Definition:** A guiding approach that may not guarantee the optimal solution but helps reach good solutions faster in practice.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sezgisel-yontem","slug":"sezgisel-yontem","lang":"en","title":"Heuristic","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:41:45.103Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.033Z","tags":["Heuristic","Arama","Optimizasyon","Verimlilik"]}},{"page_content":"# Sharpness-Aware Minimization\n\n**Definition:** Yalnızca düşük kayıp değil, aynı zamanda düz ve daha genellenebilir çözüm bölgeleri arayan optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sharpness-aware-minimization","slug":"sharpness-aware-minimization","lang":"tr","title":"Sharpness-Aware Minimization","category":"derin-ogrenme","updatedAt":"2026-06-27T22:53:06.073Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.173Z","tags":["SAM","Generalization","Optimization","Flat Minima"]}},{"page_content":"# Sharpness-Aware Minimization\n\n**Definition:** An optimization approach that seeks not only low loss but also flatter and more generalizable solution regions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sharpness-aware-minimization","slug":"sharpness-aware-minimization","lang":"en","title":"Sharpness-Aware Minimization","category":"derin-ogrenme","updatedAt":"2026-06-27T22:53:06.073Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.173Z","tags":["SAM","Generalization","Optimization","Flat Minima"]}},{"page_content":"# Kısa Zamanlı Fourier Dönüşümü\n\n**Definition:** Ses sinyalinin frekans içeriğini zaman boyunca pencereli biçimde analiz etmeyi sağlayan temel dönüşüm.","metadata":{"source":"https://sukruyusufkaya.com/glossary/short-time-fourier-transform","slug":"short-time-fourier-transform","lang":"tr","title":"Kısa Zamanlı Fourier Dönüşümü","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:27.761Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.773Z","tags":["STFT","Signal Processing","Spectrogram","Audio Analysis"]}},{"page_content":"# Short-Time Fourier Transform\n\n**Definition:** A core transform that enables windowed analysis of audio frequency content over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/short-time-fourier-transform","slug":"short-time-fourier-transform","lang":"en","title":"Short-Time Fourier Transform","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:45:27.761Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.773Z","tags":["STFT","Signal Processing","Spectrogram","Audio Analysis"]}},{"page_content":"# Plan Geçişi Tespiti\n\n**Definition:** Videodaki sahne veya kamera planı değişimlerini belirleyerek yapısal video analizi sağlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/shot-boundary-detection","slug":"shot-boundary-detection","lang":"tr","title":"Plan Geçişi Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:29.643Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.414Z","tags":["Shot Boundary Detection","Video Structure","Media Analysis","Indexing"]}},{"page_content":"# Shot Boundary Detection\n\n**Definition:** A task that identifies scene or camera-shot transitions in video to enable structural video analysis.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/shot-boundary-detection","slug":"shot-boundary-detection","lang":"en","title":"Shot Boundary Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:42:29.643Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.414Z","tags":["Shot Boundary Detection","Video Structure","Media Analysis","Indexing"]}},{"page_content":"# Sıfır Hipotezi\n\n**Definition:** Veride gözlenen etkinin aslında rastlantısal olduğunu varsayan temel hipotez testi başlangıç noktası.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sifir-hipotezi","slug":"sifir-hipotezi","lang":"tr","title":"Sıfır Hipotezi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.792Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.510Z","tags":["Null Hypothesis","Testing","Statistics","Inference"]}},{"page_content":"# Null Hypothesis\n\n**Definition:** The foundational starting point in hypothesis testing that assumes an observed effect is due to chance.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sifir-hipotezi","slug":"sifir-hipotezi","lang":"en","title":"Null Hypothesis","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:43.792Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.510Z","tags":["Null Hypothesis","Testing","Statistics","Inference"]}},{"page_content":"# SIFT Tanımlayıcısı\n\n**Definition:** Ölçek ve döndürmeye dayanıklı yerel görsel özellikler üreten klasik ama etkili tanımlayıcı yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sift-descriptor","slug":"sift-descriptor","lang":"tr","title":"SIFT Tanımlayıcısı","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:53.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.845Z","tags":["SIFT","Local Features","Classical CV","Matching"]}},{"page_content":"# SIFT Descriptor\n\n**Definition:** A classical but effective descriptor method that produces local visual features robust to scale and rotation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sift-descriptor","slug":"sift-descriptor","lang":"en","title":"SIFT Descriptor","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:53.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.845Z","tags":["SIFT","Local Features","Classical CV","Matching"]}},{"page_content":"# Sigmoid Aktivasyon\n\n**Definition:** Girdiyi 0 ile 1 arasına sıkıştırarak olasılık benzeri çıktı üreten klasik aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sigmoid-activation","slug":"sigmoid-activation","lang":"tr","title":"Sigmoid Aktivasyon","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:21.838Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.857Z","tags":["Sigmoid","Activation Function","Probability","Deep Learning"]}},{"page_content":"# Sigmoid Activation\n\n**Definition:** A classical activation function that squashes input values into the range between 0 and 1.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sigmoid-activation","slug":"sigmoid-activation","lang":"en","title":"Sigmoid Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:40:21.838Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.857Z","tags":["Sigmoid","Activation Function","Probability","Deep Learning"]}},{"page_content":"# Benzerlik Metriği\n\n**Definition:** Vektörler arasındaki yakınlığın nasıl hesaplanacağını tanımlayan temel arama ölçütü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/similarity-metric","slug":"similarity-metric","lang":"tr","title":"Benzerlik Metriği","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:47:21.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.703Z","tags":["Similarity Metric","Vector Search","Cosine","Retrieval"]}},{"page_content":"# Similarity Metric\n\n**Definition:** The core retrieval criterion that defines how proximity between vectors is computed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/similarity-metric","slug":"similarity-metric","lang":"en","title":"Similarity Metric","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:47:21.068Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.703Z","tags":["Similarity Metric","Vector Search","Cosine","Retrieval"]}},{"page_content":"# Simülasyon Verisi\n\n**Definition:** Gerçek sistemlerin davranışını matematiksel veya kurallı modeller üzerinden taklit ederek üretilen veri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/simulasyon-verisi","slug":"simulasyon-verisi","lang":"tr","title":"Simülasyon Verisi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:48.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.279Z","tags":["Simulation Data","Domain Gap","Synthetic Data","Testing"]}},{"page_content":"# Simulation Data\n\n**Definition:** Data generated by imitating the behavior of real systems through mathematical or rule-based models.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/simulasyon-verisi","slug":"simulasyon-verisi","lang":"en","title":"Simulation Data","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:48.790Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.279Z","tags":["Simulation Data","Domain Gap","Synthetic Data","Testing"]}},{"page_content":"# Tek Etiketli Görüntü Sınıflandırma\n\n**Definition:** Bir görüntüyü önceden tanımlı sınıflardan yalnızca birine atayan temel görü görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/single-label-image-classification","slug":"single-label-image-classification","lang":"tr","title":"Tek Etiketli Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:40.443Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.430Z","tags":["Image Classification","Single Label","Computer Vision","CNN"]}},{"page_content":"# Single-Label Image Classification\n\n**Definition:** A fundamental vision task that assigns an image to exactly one of a set of predefined classes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/single-label-image-classification","slug":"single-label-image-classification","lang":"en","title":"Single-Label Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:40.443Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.430Z","tags":["Image Classification","Single Label","Computer Vision","CNN"]}},{"page_content":"# Tek Nesne Takibi\n\n**Definition:** Videoda seçilen bir nesnenin konumunu zaman boyunca sürekli güncelleyerek izleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/single-object-tracking","slug":"single-object-tracking","lang":"tr","title":"Tek Nesne Takibi","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:52:35.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.866Z","tags":["Single Object Tracking","Video Tracking","Temporal Consistency","Vision"]}},{"page_content":"# Single Object Tracking\n\n**Definition:** A task that continuously updates the location of a selected object over time in video.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/single-object-tracking","slug":"single-object-tracking","lang":"en","title":"Single Object Tracking","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:52:35.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.866Z","tags":["Single Object Tracking","Video Tracking","Temporal Consistency","Vision"]}},{"page_content":"# Sınıf Dengesizliği\n\n**Definition:** Bir veri kümesinde bazı sınıfların çok baskın, bazılarının ise çok az temsil edilmesi durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sinif-dengesizligi","slug":"sinif-dengesizligi","lang":"tr","title":"Sınıf Dengesizliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:39.944Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.547Z","tags":["Class Imbalance","Rare Events","Classification","Evaluation"]}},{"page_content":"# Class Imbalance\n\n**Definition:** A condition in which some classes are heavily represented while others are represented only sparsely in a dataset.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sinif-dengesizligi","slug":"sinif-dengesizligi","lang":"en","title":"Class Imbalance","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:41:39.944Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.547Z","tags":["Class Imbalance","Rare Events","Classification","Evaluation"]}},{"page_content":"# Sınırlı Hafızalı Yapay Zekâ\n\n**Definition:** Karar verirken yalnızca mevcut girdiyi değil, yakın geçmişe ait bazı gözlem ve durum bilgilerini de kullanan AI türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sinirli-hafizali-yapay-zeka","slug":"sinirli-hafizali-yapay-zeka","lang":"tr","title":"Sınırlı Hafızalı Yapay Zekâ","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:49:04.188Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.592Z","tags":["Limited Memory","Bağlam","Karar","Modern AI"]}},{"page_content":"# Limited Memory AI\n\n**Definition:** A type of AI that uses not only current input but also some recent observations and state information when making decisions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sinirli-hafizali-yapay-zeka","slug":"sinirli-hafizali-yapay-zeka","lang":"en","title":"Limited Memory AI","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:49:04.188Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.592Z","tags":["Limited Memory","Bağlam","Karar","Modern AI"]}},{"page_content":"# Atlama Bağlantısı\n\n**Definition:** Bilginin bazı katmanları atlayarak ileri taşınmasına izin veren ve eğitim kararlılığını artıran mimari bağlantı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/skip-connection","slug":"skip-connection","lang":"tr","title":"Atlama Bağlantısı","category":"derin-ogrenme","updatedAt":"2026-06-27T23:15:19.001Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.759Z","tags":["Skip Connection","Architecture","Gradient Flow","Deep Networks"]}},{"page_content":"# Skip Connection\n\n**Definition:** An architectural connection that allows information to bypass certain layers and improves training stability.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/skip-connection","slug":"skip-connection","lang":"en","title":"Skip Connection","category":"derin-ogrenme","updatedAt":"2026-06-27T23:15:19.001Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.759Z","tags":["Skip Connection","Architecture","Gradient Flow","Deep Networks"]}},{"page_content":"# Slot Filling\n\n**Definition:** Önceden tanımlı bilgi alanlarını metinden otomatik doldurmaya odaklanan bilgi çıkarım yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/slot-filling","slug":"slot-filling","lang":"tr","title":"Slot Filling","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:47:19.802Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.197Z","tags":["Slot Filling","Dialogue Systems","Structured Data","Information Extraction"]}},{"page_content":"# Slot Filling\n\n**Definition:** An information extraction approach focused on automatically filling predefined information fields from text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/slot-filling","slug":"slot-filling","lang":"en","title":"Slot Filling","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:47:19.802Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.197Z","tags":["Slot Filling","Dialogue Systems","Structured Data","Information Extraction"]}},{"page_content":"# Yavaş Değişen Boyut\n\n**Definition:** Boyut tablolarındaki zaman içinde değişen niteliklerin tarihsel olarak nasıl korunacağını tanımlayan veri ambarı yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/slowly-changing-dimension","slug":"slowly-changing-dimension","lang":"tr","title":"Yavaş Değişen Boyut","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:59.563Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.542Z","tags":["SCD","Warehouse","History","Dimensional Modeling"]}},{"page_content":"# Slowly Changing Dimension\n\n**Definition:** A warehouse approach that defines how changing dimension attributes should be preserved historically over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/slowly-changing-dimension","slug":"slowly-changing-dimension","lang":"en","title":"Slowly Changing Dimension","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:40:59.563Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.542Z","tags":["SCD","Warehouse","History","Dimensional Modeling"]}},{"page_content":"# Küçük Ayak İzli Anahtar Kelime Tespiti\n\n**Definition:** Sınırlı bellek ve işlem gücüne sahip cihazlarda çalışacak hafif anahtar kelime tespit modelleri tasarlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/small-footprint-keyword-spotting","slug":"small-footprint-keyword-spotting","lang":"tr","title":"Küçük Ayak İzli Anahtar Kelime Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:55.472Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.763Z","tags":["Keyword Spotting","TinyML","Embedded Audio","Edge Speech"]}},{"page_content":"# Small-Footprint Keyword Spotting\n\n**Definition:** An approach focused on designing lightweight keyword spotting models for devices with limited memory and compute.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/small-footprint-keyword-spotting","slug":"small-footprint-keyword-spotting","lang":"en","title":"Small-Footprint Keyword Spotting","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:55.472Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.763Z","tags":["Keyword Spotting","TinyML","Embedded Audio","Edge Speech"]}},{"page_content":"# SMOTE\n\n**Definition:** Azınlık sınıfı için mevcut örnekler arasından yeni sentetik örnekler oluşturan yaygın dengelenme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/smote","slug":"smote","lang":"tr","title":"SMOTE","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:27.369Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.819Z","tags":["SMOTE","Synthetic Sampling","Imbalanced Data","Minority Class"]}},{"page_content":"# SMOTE\n\n**Definition:** A widely used balancing technique that generates new synthetic examples for the minority class from existing ones.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/smote","slug":"smote","lang":"en","title":"SMOTE","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:27.369Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.819Z","tags":["SMOTE","Synthetic Sampling","Imbalanced Data","Minority Class"]}},{"page_content":"# Softmax Aktivasyonu\n\n**Definition:** Çok sınıflı çıktıların normalize edilmiş olasılık dağılımı olarak ifade edilmesini sağlayan çıktı aktivasyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/softmax-activation","slug":"softmax-activation","lang":"tr","title":"Softmax Aktivasyonu","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:24.101Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.116Z","tags":["Softmax","Activation Function","Classification","Probabilities"]}},{"page_content":"# Softmax Activation\n\n**Definition:** An output activation that expresses multiclass outputs as a normalized probability distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/softmax-activation","slug":"softmax-activation","lang":"en","title":"Softmax Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:24.101Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.116Z","tags":["Softmax","Activation Function","Classification","Probabilities"]}},{"page_content":"# SORT Takip Sistemi\n\n**Definition:** Kalman filtre ve Hungarian atamayı birleştirerek hızlı çoklu nesne takibi yapan hafif sistem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sort-tracker","slug":"sort-tracker","lang":"tr","title":"SORT Takip Sistemi","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:53:38.723Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.499Z","tags":["SORT","Multi-Object Tracking","Real-Time Tracking","Baseline Systems"]}},{"page_content":"# SORT Tracker\n\n**Definition:** A lightweight system that performs fast multi-object tracking by combining Kalman filtering with Hungarian assignment.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sort-tracker","slug":"sort-tracker","lang":"en","title":"SORT Tracker","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:53:38.723Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.499Z","tags":["SORT","Multi-Object Tracking","Real-Time Tracking","Baseline Systems"]}},{"page_content":"# Ses Olayı Lokalizasyonu ve Tespiti\n\n**Definition:** Ses olayının yalnızca varlığını değil, zamanını ve bazen yönünü de belirleyen gelişmiş çevresel ses görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sound-event-localization-and-detection","slug":"sound-event-localization-and-detection","lang":"tr","title":"Ses Olayı Lokalizasyonu ve Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:34.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.136Z","tags":["SELD","Audio Localization","Event Detection","Spatial Audio"]}},{"page_content":"# Sound Event Localization and Detection\n\n**Definition:** An advanced environmental audio task that determines not only the presence of a sound event but also its timing and sometimes direction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sound-event-localization-and-detection","slug":"sound-event-localization-and-detection","lang":"en","title":"Sound Event Localization and Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:34.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.136Z","tags":["SELD","Audio Localization","Event Detection","Spatial Audio"]}},{"page_content":"# Kaynak Ayrıştırma\n\n**Definition:** Karışık ses sinyalini konuşma, müzik veya ayrı konuşmacılar gibi bileşenlerine ayırmayı amaçlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/source-separation","slug":"source-separation","lang":"tr","title":"Kaynak Ayrıştırma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:23.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.407Z","tags":["Source Separation","Speech Separation","Audio Enhancement","Signal Decomposition"]}},{"page_content":"# Source Separation\n\n**Definition:** A task that aims to separate a mixed audio signal into components such as speech, music, or individual speakers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/source-separation","slug":"source-separation","lang":"en","title":"Source Separation","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:36:23.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.407Z","tags":["Source Separation","Speech Separation","Audio Enhancement","Signal Decomposition"]}},{"page_content":"# Kaynak Sistem Replikasyonu\n\n**Definition:** Kaynak sistemdeki verinin analitik veya operasyonel amaçlarla başka bir ortama kopyalanması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/source-system-replication","slug":"source-system-replication","lang":"tr","title":"Kaynak Sistem Replikasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:38.751Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.214Z","tags":["Replication","Source Systems","Data Movement","ETL"]}},{"page_content":"# Source System Replication\n\n**Definition:** An approach in which data from a source system is replicated into another environment for analytical or operational use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/source-system-replication","slug":"source-system-replication","lang":"en","title":"Source System Replication","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:38.751Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.214Z","tags":["Replication","Source Systems","Data Movement","ETL"]}},{"page_content":"# Seyrek Attention\n\n**Definition:** Her öğenin tüm sekansa değil yalnızca seçili bölgelere dikkat etmesini sağlayarak maliyeti düşüren attention yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sparse-attention","slug":"sparse-attention","lang":"tr","title":"Seyrek Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:14.059Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.339Z","tags":["Sparse Attention","Long Context","Efficiency","Transformers"]}},{"page_content":"# Sparse Attention\n\n**Definition:** An attention approach that reduces cost by allowing each element to attend only to selected regions rather than the full sequence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sparse-attention","slug":"sparse-attention","lang":"en","title":"Sparse Attention","category":"derin-ogrenme","updatedAt":"2026-06-27T23:37:14.059Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.339Z","tags":["Sparse Attention","Long Context","Efficiency","Transformers"]}},{"page_content":"# Seyrek Autoencoder\n\n**Definition:** Latent temsilde yalnızca az sayıda nöronun etkin olmasını teşvik ederek daha seçici özellikler öğrenen autoencoder türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sparse-autoencoder","slug":"sparse-autoencoder","lang":"tr","title":"Seyrek Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-28T00:17:53.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.613Z","tags":["Sparse Autoencoder","Latent Representations","Feature Learning","Unsupervised Learning"]}},{"page_content":"# Sparse Autoencoder\n\n**Definition:** A type of autoencoder that encourages only a small number of latent neurons to activate, leading to more selective features.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sparse-autoencoder","slug":"sparse-autoencoder","lang":"en","title":"Sparse Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-28T00:17:53.008Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.613Z","tags":["Sparse Autoencoder","Latent Representations","Feature Learning","Unsupervised Learning"]}},{"page_content":"# Sparse Neural Embedding\n\n**Definition:** Anlamsal sinyalleri sinir ağlarıyla üretirken sparse retrieval benzeri açıklanabilirlik korumayı amaçlayan temsil yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sparse-neural-embeddings","slug":"sparse-neural-embeddings","lang":"tr","title":"Sparse Neural Embedding","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:58:13.052Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.560Z","tags":["Sparse Neural Embeddings","Retrieval","Interpretability","Search"]}},{"page_content":"# Sparse Neural Embeddings\n\n**Definition:** A representation approach that uses neural models to produce semantic signals while preserving sparse-retrieval-style interpretability.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sparse-neural-embeddings","slug":"sparse-neural-embeddings","lang":"en","title":"Sparse Neural Embeddings","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:58:13.052Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.560Z","tags":["Sparse Neural Embeddings","Retrieval","Interpretability","Search"]}},{"page_content":"# Sparse Retrieval\n\n**Definition:** Kelime veya terim bazlı eşleşme mantığıyla çalışan klasik ve hâlâ güçlü retrieval yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/sparse-retrieval","slug":"sparse-retrieval","lang":"tr","title":"Sparse Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:47:58.847Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.385Z","tags":["Sparse Retrieval","BM25","Search","Information Retrieval"]}},{"page_content":"# Sparse Retrieval\n\n**Definition:** A classical yet still powerful retrieval approach based on term- or word-level matching.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/sparse-retrieval","slug":"sparse-retrieval","lang":"en","title":"Sparse Retrieval","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:47:58.847Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:59.385Z","tags":["Sparse Retrieval","BM25","Search","Information Retrieval"]}},{"page_content":"# Uzamsal-Zamansal Evrişim\n\n**Definition:** Video içindeki hem uzamsal desenleri hem de zaman içi değişimi birlikte modelleyen konvolüsyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/spatio-temporal-convolution","slug":"spatio-temporal-convolution","lang":"tr","title":"Uzamsal-Zamansal Evrişim","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:20:49.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.963Z","tags":["Spatio-Temporal Convolution","Video Understanding","Action Recognition","Deep Vision"]}},{"page_content":"# Spatio-Temporal Convolution\n\n**Definition:** A convolutional approach that jointly models spatial patterns and temporal change within video.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/spatio-temporal-convolution","slug":"spatio-temporal-convolution","lang":"en","title":"Spatio-Temporal Convolution","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:20:49.285Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.963Z","tags":["Spatio-Temporal Convolution","Video Understanding","Action Recognition","Deep Vision"]}},{"page_content":"# Konuşmacı Kümeleme\n\n**Definition:** Benzer ses segmentlerini aynı konuşmacıya ait olacak biçimde gruplandıran diarization alt görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-clustering","slug":"speaker-clustering","lang":"tr","title":"Konuşmacı Kümeleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:00.149Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.594Z","tags":["Speaker Clustering","Diarization","Embeddings","Audio Analytics"]}},{"page_content":"# Speaker Clustering\n\n**Definition:** A diarization subtask that groups similar speech segments so they correspond to the same speaker.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-clustering","slug":"speaker-clustering","lang":"en","title":"Speaker Clustering","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:00.149Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.594Z","tags":["Speaker Clustering","Diarization","Embeddings","Audio Analytics"]}},{"page_content":"# Konuşmacı Ayrıştırma\n\n**Definition:** Bir ses kaydında kimin ne zaman konuştuğunu zaman ekseni üzerinde belirleyen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-diarization","slug":"speaker-diarization","lang":"tr","title":"Konuşmacı Ayrıştırma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:55:00.878Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.329Z","tags":["Diarization","Multi-Speaker Audio","Who Spoke When","Speech Analytics"]}},{"page_content":"# Speaker Diarization\n\n**Definition:** The task of determining who spoke when over the timeline of an audio recording.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-diarization","slug":"speaker-diarization","lang":"en","title":"Speaker Diarization","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:55:00.878Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.329Z","tags":["Diarization","Multi-Speaker Audio","Who Spoke When","Speech Analytics"]}},{"page_content":"# Konuşmacı Embedding'leri\n\n**Definition:** Konuşmacı kimliğini ayırt edici biçimde temsil eden yoğun vektör uzayları.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-embeddings","slug":"speaker-embeddings","lang":"tr","title":"Konuşmacı Embedding'leri","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:17.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.069Z","tags":["Speaker Embeddings","Voice Biometrics","Representation Learning","Audio"]}},{"page_content":"# Speaker Embeddings\n\n**Definition:** Dense vector representations that capture speaker identity in a discriminative form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-embeddings","slug":"speaker-embeddings","lang":"en","title":"Speaker Embeddings","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:17.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.069Z","tags":["Speaker Embeddings","Voice Biometrics","Representation Learning","Audio"]}},{"page_content":"# Konuşmacı Kimliklendirme\n\n**Definition:** Bir ses örneğinin kayıtlı konuşmacı havuzundaki hangi kişiye ait olduğunu belirleyen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-identification","slug":"speaker-identification","lang":"tr","title":"Konuşmacı Kimliklendirme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:42.760Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.894Z","tags":["Speaker Identification","Biometrics","Voice AI","Audio Recognition"]}},{"page_content":"# Speaker Identification\n\n**Definition:** A task that determines which enrolled speaker in a known set produced a given voice sample.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-identification","slug":"speaker-identification","lang":"en","title":"Speaker Identification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:42.760Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.894Z","tags":["Speaker Identification","Biometrics","Voice AI","Audio Recognition"]}},{"page_content":"# Konuşmacıdan Bağımsız Duygu Tanıma\n\n**Definition:** Duygu modelinin belirli bir konuşmacının ses özelliklerine aşırı bağımlı olmadan genel duygu ipuçlarını öğrenmesini hedefleyen yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-independent-emotion-recognition","slug":"speaker-independent-emotion-recognition","lang":"tr","title":"Konuşmacıdan Bağımsız Duygu Tanıma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:23.084Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.508Z","tags":["Speaker-Independent Emotion","Speech Emotion","Generalization","Audio Modeling"]}},{"page_content":"# Speaker-Independent Emotion Recognition\n\n**Definition:** An approach that aims for emotion models to learn general affective cues without overfitting to speaker-specific voice traits.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-independent-emotion-recognition","slug":"speaker-independent-emotion-recognition","lang":"en","title":"Speaker-Independent Emotion Recognition","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:47:23.084Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:20.508Z","tags":["Speaker-Independent Emotion","Speech Emotion","Generalization","Audio Modeling"]}},{"page_content":"# Konuşmacı Doğrulama\n\n**Definition:** Bir ses örneğinin iddia edilen konuşmacıya ait olup olmadığını doğrulayan ikili karar problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speaker-verification","slug":"speaker-verification","lang":"tr","title":"Konuşmacı Doğrulama","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:41.716Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.983Z","tags":["Speaker Verification","Voice Biometrics","Authentication","Audio AI"]}},{"page_content":"# Speaker Verification\n\n**Definition:** A binary decision problem that verifies whether a voice sample belongs to the claimed speaker.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speaker-verification","slug":"speaker-verification","lang":"en","title":"Speaker Verification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:41.716Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.983Z","tags":["Speaker Verification","Voice Biometrics","Authentication","Audio AI"]}},{"page_content":"# Spektral Kümeleme\n\n**Definition:** Benzerlik grafiği ve özdeğer ayrışımı kullanarak karmaşık küme yapıları bulmayı amaçlayan kümeleme yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/spectral-clustering","slug":"spectral-clustering","lang":"tr","title":"Spektral Kümeleme","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:40.217Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.141Z","tags":["Spectral Clustering","Graphs","Unsupervised Learning","Similarity"]}},{"page_content":"# Spectral Clustering\n\n**Definition:** A clustering method that aims to discover complex cluster structures using similarity graphs and eigen decomposition.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/spectral-clustering","slug":"spectral-clustering","lang":"en","title":"Spectral Clustering","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:41:40.217Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.141Z","tags":["Spectral Clustering","Graphs","Unsupervised Learning","Similarity"]}},{"page_content":"# Speculative Decoding\n\n**Definition:** Küçük hızlı modelin önerilerini büyük modelle doğrulayarak üretim hızını artıran decoding yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speculative-decoding","slug":"speculative-decoding","lang":"tr","title":"Speculative Decoding","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:43.948Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.648Z","tags":["Speculative Decoding","Inference Optimization","Latency","LLM"]}},{"page_content":"# Speculative Decoding\n\n**Definition:** A decoding approach that speeds up generation by validating proposals from a smaller fast model with a larger model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speculative-decoding","slug":"speculative-decoding","lang":"en","title":"Speculative Decoding","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:45:43.948Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.648Z","tags":["Speculative Decoding","Inference Optimization","Latency","LLM"]}},{"page_content":"# Konuşmada Duygu Tanıma\n\n**Definition:** Konuşma sinyalinden duyguya ilişkin akustik ipuçlarını çıkararak duygusal durumu tahmin etmeye çalışan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speech-emotion-recognition","slug":"speech-emotion-recognition","lang":"tr","title":"Konuşmada Duygu Tanıma","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:53.579Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.215Z","tags":["Speech Emotion Recognition","Affective Computing","Voice Analytics","Audio AI"]}},{"page_content":"# Speech Emotion Recognition\n\n**Definition:** A task that attempts to infer emotional state by extracting affective acoustic cues from speech.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speech-emotion-recognition","slug":"speech-emotion-recognition","lang":"en","title":"Speech Emotion Recognition","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:53.579Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.215Z","tags":["Speech Emotion Recognition","Affective Computing","Voice Analytics","Audio AI"]}},{"page_content":"# Konuşma İyileştirme\n\n**Definition:** Gürültülü veya bozulmuş ses içinden konuşmayı daha anlaşılır hale getirmeyi amaçlayan işleme görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/speech-enhancement","slug":"speech-enhancement","lang":"tr","title":"Konuşma İyileştirme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:56.317Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.132Z","tags":["Speech Enhancement","Noise Reduction","Audio Cleanup","Speech Processing"]}},{"page_content":"# Speech Enhancement\n\n**Definition:** A processing task that aims to make speech more intelligible from noisy or degraded audio.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/speech-enhancement","slug":"speech-enhancement","lang":"en","title":"Speech Enhancement","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:42:56.317Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.132Z","tags":["Speech Enhancement","Noise Reduction","Audio Cleanup","Speech Processing"]}},{"page_content":"# Yazım Düzeltme\n\n**Definition:** Yazım hatalı metinleri daha doğru biçimlere dönüştürerek aşağı akış NLP görevlerinin kalitesini artıran ön işleme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/spelling-correction","slug":"spelling-correction","lang":"tr","title":"Yazım Düzeltme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:58:18.146Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.506Z","tags":["Spelling Correction","Preprocessing","Noisy Text","NLP"]}},{"page_content":"# Spelling Correction\n\n**Definition:** A preprocessing technique that converts misspelled text into more accurate forms to improve downstream NLP quality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/spelling-correction","slug":"spelling-correction","lang":"en","title":"Spelling Correction","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:58:18.146Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.506Z","tags":["Spelling Correction","Preprocessing","Noisy Text","NLP"]}},{"page_content":"# Squeeze-and-Excitation\n\n**Definition:** Özellik kanallarını küresel bağlamla yeniden ağırlıklandıran CNN modülü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/squeeze-and-excitation","slug":"squeeze-and-excitation","lang":"tr","title":"Squeeze-and-Excitation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:47:23.459Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.617Z","tags":["Squeeze-and-Excitation","CNN","Channel Attention","Architecture"]}},{"page_content":"# Squeeze-and-Excitation\n\n**Definition:** A CNN module that reweights feature channels using global context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/squeeze-and-excitation","slug":"squeeze-and-excitation","lang":"en","title":"Squeeze-and-Excitation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:47:23.459Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.617Z","tags":["Squeeze-and-Excitation","CNN","Channel Attention","Architecture"]}},{"page_content":"# Stacking\n\n**Definition:** Birden fazla temel modelin çıktısını üst düzey bir meta-model ile birleştiren ensemble tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stacking","slug":"stacking","lang":"tr","title":"Stacking","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:42.110Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.765Z","tags":["Stacking","Ensemble","Meta-Model","Model Combination"]}},{"page_content":"# Stacking\n\n**Definition:** An ensemble technique that combines the outputs of multiple base models through a higher-level meta-model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stacking","slug":"stacking","lang":"en","title":"Stacking","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:42.110Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.765Z","tags":["Stacking","Ensemble","Meta-Model","Model Combination"]}},{"page_content":"# Staging Area\n\n**Definition:** Kaynak verilerin nihai dönüşüm öncesinde geçici olarak tutulduğu ara veri hazırlık katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/staging-area","slug":"staging-area","lang":"tr","title":"Staging Area","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:04.877Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.209Z","tags":["Staging Area","ETL","Data Preparation","Intermediary Layer"]}},{"page_content":"# Staging Area\n\n**Definition:** An intermediate preparation layer where source data is temporarily held before final transformation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/staging-area","slug":"staging-area","lang":"en","title":"Staging Area","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:39:04.877Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.209Z","tags":["Staging Area","ETL","Data Preparation","Intermediary Layer"]}},{"page_content":"# Tutum Tespiti\n\n**Definition:** Bir metnin belirli bir iddia, konu veya hedefe karşı tutumunu belirlemeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stance-detection","slug":"stance-detection","lang":"tr","title":"Tutum Tespiti","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:00.946Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.003Z","tags":["Stance Detection","Opinion Mining","Classification","Social NLP"]}},{"page_content":"# Stance Detection\n\n**Definition:** A task focused on identifying a text’s stance toward a given claim, topic, or target.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stance-detection","slug":"stance-detection","lang":"en","title":"Stance Detection","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:00.946Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.003Z","tags":["Stance Detection","Opinion Mining","Classification","Social NLP"]}},{"page_content":"# Standartlaştırma\n\n**Definition:** Bir değişkeni ortalaması sıfır ve standart sapması bir olacak şekilde dönüştürme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/standartlastirma","slug":"standartlastirma","lang":"tr","title":"Standartlaştırma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:57.019Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.013Z","tags":["Standardization","Scaling","PCA","Model Stability"]}},{"page_content":"# Standardization\n\n**Definition:** The process of transforming a variable so that it has mean zero and standard deviation one.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/standartlastirma","slug":"standartlastirma","lang":"en","title":"Standardization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:42:57.019Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.013Z","tags":["Standardization","Scaling","PCA","Model Stability"]}},{"page_content":"# Yıldız Şema\n\n**Definition:** Merkezde olgu tablosu, çevresinde boyut tabloları bulunan klasik analitik veri ambarı tasarımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/star-schema","slug":"star-schema","lang":"tr","title":"Yıldız Şema","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:58.796Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.455Z","tags":["Star Schema","Warehouse","Fact Table","BI"]}},{"page_content":"# Star Schema\n\n**Definition:** A classic analytical warehouse design with a central fact table surrounded by dimension tables.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/star-schema","slug":"star-schema","lang":"en","title":"Star Schema","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:58.796Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:54.455Z","tags":["Star Schema","Warehouse","Fact Table","BI"]}},{"page_content":"# Durum Deposu\n\n**Definition:** Akış işleme sırasında geçmiş bağlamı ve ara hesap durumlarını saklayan kalıcı veya yarı kalıcı veri yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/state-store","slug":"state-store","lang":"tr","title":"Durum Deposu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:59.364Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.623Z","tags":["State Store","Streaming","Stateful Processing","Recovery"]}},{"page_content":"# State Store\n\n**Definition:** A persistent or semi-persistent data structure that stores historical context and intermediate computation state during stream processing.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/state-store","slug":"state-store","lang":"en","title":"State Store","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:54:59.364Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.623Z","tags":["State Store","Streaming","Stateful Processing","Recovery"]}},{"page_content":"# Kök Bulma\n\n**Definition:** Kelimenin eklerini kaba biçimde atarak daha kısa kök benzeri forma indirgeme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stemming","slug":"stemming","lang":"tr","title":"Kök Bulma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:40.308Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.604Z","tags":["Stemming","Text Mining","IR","Preprocessing"]}},{"page_content":"# Stemming\n\n**Definition:** An approach that reduces a word to a shorter root-like form by crudely stripping suffixes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stemming","slug":"stemming","lang":"en","title":"Stemming","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:40.308Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.604Z","tags":["Stemming","Text Mining","IR","Preprocessing"]}},{"page_content":"# Stochastic Depth\n\n**Definition:** Eğitim sırasında bazı katmanları rastgele atlayarak çok derin ağlarda daha güçlü düzenlileştirme sağlayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stochastic-depth","slug":"stochastic-depth","lang":"tr","title":"Stochastic Depth","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:40.909Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.748Z","tags":["Stochastic Depth","Regularization","Residual Networks","Deep Learning"]}},{"page_content":"# Stochastic Depth\n\n**Definition:** A method that provides stronger regularization in very deep networks by randomly skipping some layers during training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stochastic-depth","slug":"stochastic-depth","lang":"en","title":"Stochastic Depth","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:40.909Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.748Z","tags":["Stochastic Depth","Regularization","Residual Networks","Deep Learning"]}},{"page_content":"# Stokastik Üretim\n\n**Definition:** Aynı girdiden her seferinde aynı çıktıyı üretmek yerine olasılıksal çeşitlilik içeren üretim biçimi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stochastic-generation","slug":"stochastic-generation","lang":"tr","title":"Stokastik Üretim","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:01.368Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.627Z","tags":["Stochasticity","Generation","Creativity","Diversity"]}},{"page_content":"# Stochastic Generation\n\n**Definition:** A generation mode that introduces probabilistic diversity instead of producing the exact same output every time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stochastic-generation","slug":"stochastic-generation","lang":"en","title":"Stochastic Generation","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:39:01.368Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.627Z","tags":["Stochasticity","Generation","Creativity","Diversity"]}},{"page_content":"# Stochastic Weight Averaging\n\n**Definition:** Eğitim sürecindeki farklı parametre noktalarını ortalayarak daha sağlam genelleme elde etmeyi amaçlayan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stochastic-weight-averaging","slug":"stochastic-weight-averaging","lang":"tr","title":"Stochastic Weight Averaging","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:45.012Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.263Z","tags":["SWA","Regularization","Generalization","Optimization"]}},{"page_content":"# Stochastic Weight Averaging\n\n**Definition:** A method that averages parameter states from different stages of training in order to obtain more robust generalization.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stochastic-weight-averaging","slug":"stochastic-weight-averaging","lang":"en","title":"Stochastic Weight Averaging","category":"derin-ogrenme","updatedAt":"2026-06-27T23:41:45.012Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:46.263Z","tags":["SWA","Regularization","Generalization","Optimization"]}},{"page_content":"# Stokastik Gradyan İnişi\n\n**Definition:** Her güncellemede tüm veri yerine tekil örnekler veya küçük parçalar kullanarak parametreleri güncelleyen optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stokastik-gradyan-inisi","slug":"stokastik-gradyan-inisi","lang":"tr","title":"Stokastik Gradyan İnişi","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:33.834Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.047Z","tags":["SGD","Optimization","Mini-batch","Training"]}},{"page_content":"# Stochastic Gradient Descent\n\n**Definition:** An optimization approach that updates parameters using single examples or small subsets instead of the full dataset at each step.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stokastik-gradyan-inisi","slug":"stokastik-gradyan-inisi","lang":"en","title":"Stochastic Gradient Descent","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:33.834Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.047Z","tags":["SGD","Optimization","Mini-batch","Training"]}},{"page_content":"# Stopword Filtreleme\n\n**Definition:** Anlamsal katkısı düşük görülen sık kelimeleri metinden çıkarmaya dayalı klasik ön işleme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stopword-filtering","slug":"stopword-filtering","lang":"tr","title":"Stopword Filtreleme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:17.705Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.782Z","tags":["Stopwords","Filtering","TF-IDF","Preprocessing"]}},{"page_content":"# Stopword Filtering\n\n**Definition:** A classical preprocessing technique based on removing frequent words that are assumed to have low semantic contribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stopword-filtering","slug":"stopword-filtering","lang":"en","title":"Stopword Filtering","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:17.705Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.782Z","tags":["Stopwords","Filtering","TF-IDF","Preprocessing"]}},{"page_content":"# Akış Join'i\n\n**Definition:** Birden fazla sürekli veri akışını zaman ve anahtar mantığıyla birleştirerek anlamlı olay bağlamı üretme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stream-join","slug":"stream-join","lang":"tr","title":"Akış Join'i","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:29.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.548Z","tags":["Stream Join","Streaming","Real-Time Analytics","Stateful Processing"]}},{"page_content":"# Stream Join\n\n**Definition:** The operation of joining multiple continuous data streams by key and time logic to create meaningful event context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stream-join","slug":"stream-join","lang":"en","title":"Stream Join","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:29.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.548Z","tags":["Stream Join","Streaming","Real-Time Analytics","Stateful Processing"]}},{"page_content":"# Akış Gecikme Farkı\n\n**Definition:** Üretilen olaylarla tüketilen olaylar arasındaki gecikme farkını ifade eden temel akış sağlığı metriği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stream-lag","slug":"stream-lag","lang":"tr","title":"Akış Gecikme Farkı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:28.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.713Z","tags":["Stream Lag","Streaming","Latency","Monitoring"]}},{"page_content":"# Stream Lag\n\n**Definition:** A core stream-health metric that expresses the delay gap between produced events and consumed events.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stream-lag","slug":"stream-lag","lang":"en","title":"Stream Lag","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:28.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.713Z","tags":["Stream Lag","Streaming","Latency","Monitoring"]}},{"page_content":"# Akış İşleme\n\n**Definition:** Sürekli gelen veri olaylarının düşük gecikme ile işlenmesine dayanan işlem yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stream-processing","slug":"stream-processing","lang":"tr","title":"Akış İşleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:16:59.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.180Z","tags":["Stream Processing","Real-Time","Low Latency","Events"]}},{"page_content":"# Stream Processing\n\n**Definition:** A processing approach based on handling continuously arriving data events with low latency.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stream-processing","slug":"stream-processing","lang":"en","title":"Stream Processing","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:16:59.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.180Z","tags":["Stream Processing","Real-Time","Low Latency","Events"]}},{"page_content":"# Akış Pencereleme\n\n**Definition:** Sürekli veri akışını belirli zaman veya olay aralıklarında gruplayarak hesaplama yapma yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stream-windowing","slug":"stream-windowing","lang":"tr","title":"Akış Pencereleme","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:06.872Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.436Z","tags":["Windowing","Streaming","Aggregation","Real-Time Analytics"]}},{"page_content":"# Stream Windowing\n\n**Definition:** An approach that groups continuous data streams into defined time or event intervals for computation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stream-windowing","slug":"stream-windowing","lang":"en","title":"Stream Windowing","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:45:06.872Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.436Z","tags":["Windowing","Streaming","Aggregation","Real-Time Analytics"]}},{"page_content":"# Akış Sonlandırma Tespiti\n\n**Definition:** Konuşmanın gerçekten bittiği anı belirleyerek streaming ASR sistemlerinde doğru yanıt zamanlaması sağlayan mekanizma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/streaming-endpoint-detection","slug":"streaming-endpoint-detection","lang":"tr","title":"Akış Sonlandırma Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:06.871Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.898Z","tags":["Endpoint Detection","Streaming ASR","Latency","Speech UX"]}},{"page_content":"# Streaming Endpoint Detection\n\n**Definition:** A mechanism that determines when speech has truly ended in order to provide correct response timing in streaming ASR systems.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/streaming-endpoint-detection","slug":"streaming-endpoint-detection","lang":"en","title":"Streaming Endpoint Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:38:06.871Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.898Z","tags":["Endpoint Detection","Streaming ASR","Latency","Speech UX"]}},{"page_content":"# Akış Tabanlı TTS\n\n**Definition:** Tüm metni beklemeden düşük gecikmeyle ses üretmeye başlayan gerçek zamanlı konuşma sentezi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/streaming-tts","slug":"streaming-tts","lang":"tr","title":"Akış Tabanlı TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:00.621Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.809Z","tags":["Streaming TTS","Low Latency","Speech Synthesis","Real-Time Audio"]}},{"page_content":"# Streaming TTS\n\n**Definition:** A real-time speech synthesis approach that begins generating audio with low latency without waiting for the full text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/streaming-tts","slug":"streaming-tts","lang":"en","title":"Streaming TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:00.621Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.809Z","tags":["Streaming TTS","Low Latency","Speech Synthesis","Real-Time Audio"]}},{"page_content":"# Konuşmadan Stres Tespiti\n\n**Definition:** Konuşma akışındaki akustik değişimlerden stres veya bilişsel yük sinyali çıkarmaya çalışan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stress-detection-from-speech","slug":"stress-detection-from-speech","lang":"tr","title":"Konuşmadan Stres Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:47.038Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.489Z","tags":["Stress Detection","Speech Analytics","Behavior Signals","Audio AI"]}},{"page_content":"# Stress Detection from Speech\n\n**Definition:** A task that attempts to extract stress or cognitive-load signals from acoustic variations in speech.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stress-detection-from-speech","slug":"stress-detection-from-speech","lang":"en","title":"Stress Detection from Speech","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:43:47.038Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.489Z","tags":["Stress Detection","Speech Analytics","Behavior Signals","Audio AI"]}},{"page_content":"# Stride\n\n**Definition:** Filtrenin giriş üzerinde kaç adımla ilerleyeceğini belirleyen ve çıktı çözünürlüğünü etkileyen CNN hiperparametresi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/stride","slug":"stride","lang":"tr","title":"Stride","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:17.116Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.929Z","tags":["Stride","CNN","Convolution","Spatial Resolution"]}},{"page_content":"# Stride\n\n**Definition:** A CNN hyperparameter that determines how many steps a filter moves across the input and affects output resolution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/stride","slug":"stride","lang":"en","title":"Stride","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:17.116Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.929Z","tags":["Stride","CNN","Convolution","Spatial Resolution"]}},{"page_content":"# Yapılandırılmış Çıktı Prompting\n\n**Definition:** Modelden serbest metin yerine JSON, tablo veya belirli şema uyumlu çıktı üretmesini isteme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/structured-output-prompting","slug":"structured-output-prompting","lang":"tr","title":"Yapılandırılmış Çıktı Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:25.815Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:16.089Z","tags":["Structured Output","Prompting","JSON","Automation"]}},{"page_content":"# Structured Output Prompting\n\n**Definition:** A technique that asks the model to produce schema-aligned outputs such as JSON or tables instead of free text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/structured-output-prompting","slug":"structured-output-prompting","lang":"en","title":"Structured Output Prompting","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:40:25.815Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:16.089Z","tags":["Structured Output","Prompting","JSON","Automation"]}},{"page_content":"# Alt Kelime Tokenization\n\n**Definition:** Nadir kelimeleri daha küçük anlamlı parçalara bölerek kelime dağarcığı ve kapsama arasında denge kuran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/subword-tokenization","slug":"subword-tokenization","lang":"tr","title":"Alt Kelime Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:38.991Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.959Z","tags":["Subword","Tokenization","LLM","Multilingual NLP"]}},{"page_content":"# Subword Tokenization\n\n**Definition:** An approach that splits rare words into smaller meaningful pieces to balance vocabulary size and coverage.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/subword-tokenization","slug":"subword-tokenization","lang":"en","title":"Subword Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:54:38.991Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.959Z","tags":["Subword","Tokenization","LLM","Multilingual NLP"]}},{"page_content":"# Successive Halving\n\n**Definition:** Aday modelleri aşamalı olarak değerlendirip zayıf olanları eleyerek en iyi adaylara kaynak ayıran optimizasyon yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/successive-halving","slug":"successive-halving","lang":"tr","title":"Successive Halving","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:31.421Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:07.086Z","tags":["Successive Halving","Optimization","Early Elimination","Efficiency"]}},{"page_content":"# Successive Halving\n\n**Definition:** An optimization approach that evaluates model candidates in stages, eliminates weak ones, and allocates resources to the strongest candidates.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/successive-halving","slug":"successive-halving","lang":"en","title":"Successive Halving","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:31.421Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:07.086Z","tags":["Successive Halving","Optimization","Early Elimination","Efficiency"]}},{"page_content":"# Özet Sadakati\n\n**Definition:** Üretilen özetin kaynak metindeki gerçek bilgiye ne kadar bağlı kaldığını ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/summary-faithfulness","slug":"summary-faithfulness","lang":"tr","title":"Özet Sadakati","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:31.411Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.572Z","tags":["Faithfulness","Summarization","Evaluation","Hallucination"]}},{"page_content":"# Summary Faithfulness\n\n**Definition:** A quality dimension describing how faithfully a generated summary remains grounded in the source text.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/summary-faithfulness","slug":"summary-faithfulness","lang":"en","title":"Summary Faithfulness","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:31.411Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.572Z","tags":["Faithfulness","Summarization","Evaluation","Hallucination"]}},{"page_content":"# Denetimli İnce Ayar\n\n**Definition:** Önceden eğitilmiş modeli etiketli görev verisiyle daha belirli bir davranışa yönlendirme süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/supervised-fine-tuning","slug":"supervised-fine-tuning","lang":"tr","title":"Denetimli İnce Ayar","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:46.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.822Z","tags":["SFT","Fine-Tuning","LLM","Task Adaptation"]}},{"page_content":"# Supervised Fine-Tuning\n\n**Definition:** The process of steering a pretrained model toward more specific behavior using labeled task data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/supervised-fine-tuning","slug":"supervised-fine-tuning","lang":"en","title":"Supervised Fine-Tuning","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:46.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.822Z","tags":["SFT","Fine-Tuning","LLM","Task Adaptation"]}},{"page_content":"# Destek Vektör Makineleri\n\n**Definition:** Sınıflar arasındaki marjı maksimize ederek ayrım yapmayı hedefleyen güçlü sınıflandırma yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/support-vector-machine","slug":"support-vector-machine","lang":"tr","title":"Destek Vektör Makineleri","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:21.785Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.313Z","tags":["SVM","Classification","Kernel Methods","Margins"]}},{"page_content":"# Support Vector Machine\n\n**Definition:** A powerful classification method that aims to separate classes by maximizing the margin between them.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/support-vector-machine","slug":"support-vector-machine","lang":"en","title":"Support Vector Machine","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:36:21.785Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.313Z","tags":["SVM","Classification","Kernel Methods","Margins"]}},{"page_content":"# Swish Aktivasyonu\n\n**Definition:** Girdiyi sigmoid ile çarparak yumuşak ve doğrusal olmayan dönüşüm sağlayan modern aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/swish-activation","slug":"swish-activation","lang":"tr","title":"Swish Aktivasyonu","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:52.810Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.021Z","tags":["Swish","Activation Function","Smooth Activations","Optimization"]}},{"page_content":"# Swish Activation\n\n**Definition:** A modern activation function that multiplies the input by a sigmoid to create a smooth nonlinear transformation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/swish-activation","slug":"swish-activation","lang":"en","title":"Swish Activation","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:52.810Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:31.021Z","tags":["Swish","Activation Function","Smooth Activations","Optimization"]}},{"page_content":"# System Prompt\n\n**Definition:** Modelin genel davranış sınırlarını, rolünü ve önceliklerini belirleyen üst seviye talimat katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/system-prompt","slug":"system-prompt","lang":"tr","title":"System Prompt","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:56.927Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.553Z","tags":["System Prompt","Prompt Engineering","Control","LLM"]}},{"page_content":"# System Prompt\n\n**Definition:** A high-level instruction layer that defines the model’s overall behavior, role, and priorities.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/system-prompt","slug":"system-prompt","lang":"en","title":"System Prompt","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:58:56.927Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.553Z","tags":["System Prompt","Prompt Engineering","Control","LLM"]}},{"page_content":"# t-Dağılımı\n\n**Definition:** Özellikle küçük örneklemlerde ortalama etrafındaki belirsizliği modellemek için kullanılan sürekli dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/t-dagilimi","slug":"t-dagilimi","lang":"tr","title":"t-Dağılımı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:44.592Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.855Z","tags":["t-Distribution","Small Sample","Inference","Statistics"]}},{"page_content":"# t-Distribution\n\n**Definition:** A continuous distribution used especially to model uncertainty around the mean in small samples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/t-dagilimi","slug":"t-dagilimi","lang":"en","title":"t-Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:44.592Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.855Z","tags":["t-Distribution","Small Sample","Inference","Statistics"]}},{"page_content":"# t-SNE\n\n**Definition:** Yüksek boyutlu veriyi düşük boyutta görselleştirmek için yerel benzerlik yapısını korumaya odaklanan yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/t-sne","slug":"t-sne","lang":"tr","title":"t-SNE","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:26.902Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.777Z","tags":["t-SNE","Visualization","Dimensionality Reduction","Exploratory Analysis"]}},{"page_content":"# t-SNE\n\n**Definition:** A method focused on preserving local similarity structure when visualizing high-dimensional data in low dimensions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/t-sne","slug":"t-sne","lang":"en","title":"t-SNE","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:45:26.902Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.777Z","tags":["t-SNE","Visualization","Dimensionality Reduction","Exploratory Analysis"]}},{"page_content":"# t-Yakınlığı\n\n**Definition:** Anonim gruplardaki hassas veri dağılımlarının genel veri kümesine yeterince yakın kalmasını hedefleyen model.","metadata":{"source":"https://sukruyusufkaya.com/glossary/t-yakinligi","slug":"t-yakinligi","lang":"tr","title":"t-Yakınlığı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:54.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.810Z","tags":["t-Closeness","Privacy","Distributional Privacy","Sensitive Data"]}},{"page_content":"# t-Closeness\n\n**Definition:** A model that requires sensitive-value distributions within anonymized groups to remain close to the overall dataset distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/t-yakinligi","slug":"t-yakinligi","lang":"en","title":"t-Closeness","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:54.347Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.810Z","tags":["t-Closeness","Privacy","Distributional Privacy","Sensitive Data"]}},{"page_content":"# Tablo Yapısı Tanıma\n\n**Definition:** Belgedeki tablo satır, sütun ve hücre ilişkilerini çıkararak veriyi makine tarafından kullanılabilir hale getiren görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/table-structure-recognition","slug":"table-structure-recognition","lang":"tr","title":"Tablo Yapısı Tanıma","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:39.879Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.055Z","tags":["Table Recognition","Document AI","Structured Extraction","OCR"]}},{"page_content":"# Table Structure Recognition\n\n**Definition:** A task that extracts row, column, and cell relationships in document tables so the data becomes machine-usable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/table-structure-recognition","slug":"table-structure-recognition","lang":"en","title":"Table Structure Recognition","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:36:39.879Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.055Z","tags":["Table Recognition","Document AI","Structured Extraction","OCR"]}},{"page_content":"# Takma Adlaştırma\n\n**Definition:** Kimlik bilgilerini doğrudan kaldırmak yerine, kontrollü ek bilgilerle geri bağlanabilecek takma temsillere dönüştürme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/takma-adlastirma","slug":"takma-adlastirma","lang":"tr","title":"Takma Adlaştırma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:46.482Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.678Z","tags":["Pseudonymization","Privacy","Identifiers","Governance"]}},{"page_content":"# Pseudonymization\n\n**Definition:** An approach that replaces direct identifiers with substitute representations that can be re-linked only through controlled additional information.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/takma-adlastirma","slug":"takma-adlastirma","lang":"en","title":"Pseudonymization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:46.482Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.678Z","tags":["Pseudonymization","Privacy","Identifiers","Governance"]}},{"page_content":"# Tamlık\n\n**Definition:** Bir veri kümesinde beklenen alanların, kayıtların veya iş kapsamının ne ölçüde eksiksiz bulunduğunu ifade eden kalite boyutu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tamlik","slug":"tamlik","lang":"tr","title":"Tamlık","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:48.537Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.239Z","tags":["Completeness","Data Quality","Coverage","Missingness"]}},{"page_content":"# Completeness\n\n**Definition:** A data quality dimension describing how fully expected fields, records, or business scope are present in a dataset.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tamlik","slug":"tamlik","lang":"en","title":"Completeness","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:48.537Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.239Z","tags":["Completeness","Data Quality","Coverage","Missingness"]}},{"page_content":"# Tanh Aktivasyon\n\n**Definition:** Girdileri -1 ile 1 arasına taşıyan sıfır merkezli aktivasyon fonksiyonu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tanh-activation","slug":"tanh-activation","lang":"tr","title":"Tanh Aktivasyon","category":"derin-ogrenme","updatedAt":"2026-06-27T23:42:32.698Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.944Z","tags":["Tanh","Activation Function","Sequence Models","Gradient Flow"]}},{"page_content":"# Tanh Activation\n\n**Definition:** A zero-centered activation function that maps inputs into the range from -1 to 1.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tanh-activation","slug":"tanh-activation","lang":"en","title":"Tanh Activation","category":"derin-ogrenme","updatedAt":"2026-06-27T23:42:32.698Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:16.944Z","tags":["Tanh","Activation Function","Sequence Models","Gradient Flow"]}},{"page_content":"# Target Encoding\n\n**Definition:** Kategorik sınıfları hedef değişkenle ilişkili özet istatistikler üzerinden sayısal temsillere dönüştüren gelişmiş özellik mühendisliği tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/target-encoding","slug":"target-encoding","lang":"tr","title":"Target Encoding","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:48.976Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.759Z","tags":["Target Encoding","High Cardinality","Categorical Features","Leakage"]}},{"page_content":"# Target Encoding\n\n**Definition:** An advanced feature engineering technique that converts categorical levels into numerical representations using target-related summary statistics.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/target-encoding","slug":"target-encoding","lang":"en","title":"Target Encoding","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:46:48.976Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.759Z","tags":["Target Encoding","High Cardinality","Categorical Features","Leakage"]}},{"page_content":"# Teacher Forcing\n\n**Definition:** Sekans üretim eğitiminde modelin kendi çıktısı yerine gerçek önceki çıktıyla beslenmesini sağlayan strateji.","metadata":{"source":"https://sukruyusufkaya.com/glossary/teacher-forcing","slug":"teacher-forcing","lang":"tr","title":"Teacher Forcing","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:10.120Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.478Z","tags":["Teacher Forcing","Seq2Seq","Training Strategy","Sequence Generation"]}},{"page_content":"# Teacher Forcing\n\n**Definition:** A training strategy in sequence generation where the model is fed the true previous output instead of its own prediction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/teacher-forcing","slug":"teacher-forcing","lang":"en","title":"Teacher Forcing","category":"derin-ogrenme","updatedAt":"2026-06-28T00:46:10.120Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.478Z","tags":["Teacher Forcing","Seq2Seq","Training Strategy","Sequence Generation"]}},{"page_content":"# Teknik Metadata\n\n**Definition:** Veri varlıklarının şema, veri tipi, kaynak yapı ve depolama özelliklerini tanımlayan teknik metadata katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/technical-metadata","slug":"technical-metadata","lang":"tr","title":"Teknik Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:42.098Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.807Z","tags":["Technical Metadata","Schema","Storage","Data Systems"]}},{"page_content":"# Technical Metadata\n\n**Definition:** The technical metadata layer that describes schema, data types, source structures, and storage characteristics of data assets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/technical-metadata","slug":"technical-metadata","lang":"en","title":"Technical Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:42.098Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.807Z","tags":["Technical Metadata","Schema","Storage","Data Systems"]}},{"page_content":"# Tekil Değer Ayrışımı (SVD)\n\n**Definition:** Bir matrisi daha temel bileşenlere ayırarak yapı, sıkıştırma ve boyut indirgeme analizi sağlayan güçlü ayrışım yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tekil-deger-ayrisimi","slug":"tekil-deger-ayrisimi","lang":"tr","title":"Tekil Değer Ayrışımı (SVD)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:13.779Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.949Z","tags":["SVD","Dimensionality Reduction","Matrix Factorization","Representation"]}},{"page_content":"# Singular Value Decomposition (SVD)\n\n**Definition:** A powerful decomposition method that breaks a matrix into more fundamental components for structure analysis, compression, and dimensionality reduction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tekil-deger-ayrisimi","slug":"tekil-deger-ayrisimi","lang":"en","title":"Singular Value Decomposition (SVD)","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:13.779Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:16.949Z","tags":["SVD","Dimensionality Reduction","Matrix Factorization","Representation"]}},{"page_content":"# Temperature Sampling\n\n**Definition:** Çıktı dağılımının keskinliğini ayarlayarak daha kontrollü veya daha yaratıcı üretim sağlayan parametre.","metadata":{"source":"https://sukruyusufkaya.com/glossary/temperature-sampling","slug":"temperature-sampling","lang":"tr","title":"Temperature Sampling","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:44:46.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.537Z","tags":["Temperature","Sampling","Decoding","Control"]}},{"page_content":"# Temperature Sampling\n\n**Definition:** A parameter that adjusts output distribution sharpness to produce more controlled or more creative generation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/temperature-sampling","slug":"temperature-sampling","lang":"en","title":"Temperature Sampling","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:44:46.117Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.537Z","tags":["Temperature","Sampling","Decoding","Control"]}},{"page_content":"# Şablon Tabanlı Çıkarım\n\n**Definition:** Belirli belge veya ifade kalıplarından yapılandırılmış bilgi çıkarmaya odaklanan kontrollü çıkarım yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/template-based-extraction","slug":"template-based-extraction","lang":"tr","title":"Şablon Tabanlı Çıkarım","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:26.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.301Z","tags":["Template Extraction","Document AI","Structured Output","Automation"]}},{"page_content":"# Template-Based Extraction\n\n**Definition:** A controlled extraction approach focused on obtaining structured information from predefined document or expression patterns.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/template-based-extraction","slug":"template-based-extraction","lang":"en","title":"Template-Based Extraction","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:26.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:58.301Z","tags":["Template Extraction","Document AI","Structured Output","Automation"]}},{"page_content":"# Zamansal Aksiyon Lokalizasyonu\n\n**Definition:** Bir videoda eylemin yalnızca türünü değil, hangi zaman aralığında gerçekleştiğini de belirleyen görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/temporal-action-localization","slug":"temporal-action-localization","lang":"tr","title":"Zamansal Aksiyon Lokalizasyonu","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:14.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.693Z","tags":["Temporal Localization","Action Recognition","Video Analytics","Event Detection"]}},{"page_content":"# Temporal Action Localization\n\n**Definition:** A task that identifies not only the action type in a video but also the time interval in which it occurs.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/temporal-action-localization","slug":"temporal-action-localization","lang":"en","title":"Temporal Action Localization","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:14.540Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.693Z","tags":["Temporal Localization","Action Recognition","Video Analytics","Event Detection"]}},{"page_content":"# Zamansal Aksiyon Segmentasyonu\n\n**Definition:** Uzun video akışlarını anlamlı eylem parçalarına bölerek her zaman aralığını bir aksiyon etiketiyle ilişkilendiren görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/temporal-action-segmentation","slug":"temporal-action-segmentation","lang":"tr","title":"Zamansal Aksiyon Segmentasyonu","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:12.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.225Z","tags":["Temporal Segmentation","Video Understanding","Action Parsing","Process Analytics"]}},{"page_content":"# Temporal Action Segmentation\n\n**Definition:** A task that segments long video streams into meaningful action units and assigns an action label to each temporal interval.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/temporal-action-segmentation","slug":"temporal-action-segmentation","lang":"en","title":"Temporal Action Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:37:12.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.225Z","tags":["Temporal Segmentation","Video Understanding","Action Parsing","Process Analytics"]}},{"page_content":"# Zamansal Çapraz Doğrulama\n\n**Definition:** Zaman serisi problemlerinde gelecek bilginin geçmişe sızmasını önlemek için kronolojik doğrulama yapan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/temporal-cross-validation","slug":"temporal-cross-validation","lang":"tr","title":"Zamansal Çapraz Doğrulama","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:10.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.648Z","tags":["Temporal Validation","Time Series","Evaluation","Leakage Prevention"]}},{"page_content":"# Temporal Cross-Validation\n\n**Definition:** An approach that performs chronological validation in time series problems to prevent future information from leaking into the past.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/temporal-cross-validation","slug":"temporal-cross-validation","lang":"en","title":"Temporal Cross-Validation","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:53:10.857Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.648Z","tags":["Temporal Validation","Time Series","Evaluation","Leakage Prevention"]}},{"page_content":"# Temsil Öğrenmesi\n\n**Definition:** Ham veriden görev için en uygun, bilgi yoğun ve ayrıştırıcı içsel gösterimlerin otomatik olarak öğrenilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/temsil-ogrenmesi","slug":"temsil-ogrenmesi","lang":"tr","title":"Temsil Öğrenmesi","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:01.454Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.822Z","tags":["Representation Learning","Temsil","Derin Öğrenme","Anlam"]}},{"page_content":"# Representation Learning\n\n**Definition:** An approach in which informative, discriminative, and task-relevant internal representations are learned automatically from raw data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/temsil-ogrenmesi","slug":"temsil-ogrenmesi","lang":"en","title":"Representation Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:01.454Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.822Z","tags":["Representation Learning","Temsil","Derin Öğrenme","Anlam"]}},{"page_content":"# Tensor\n\n**Definition:** Skaler, vektör ve matrisin daha genel bir uzantısı olan çok boyutlu sayısal veri yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tensor","slug":"tensor","lang":"tr","title":"Tensor","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:55.390Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.845Z","tags":["Tensor","Deep Learning","GPU","Veri Yapısı"]}},{"page_content":"# Tensor\n\n**Definition:** A multidimensional numerical structure that generalizes scalars, vectors, and matrices.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tensor","slug":"tensor","lang":"en","title":"Tensor","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:46:55.390Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.845Z","tags":["Tensor","Deep Learning","GPU","Veri Yapısı"]}},{"page_content":"# Tensor Paralelliği\n\n**Definition:** Büyük model hesaplarını birden fazla cihaz arasında katman içi olarak bölerek inference ve eğitim ölçekleme sağlayan teknik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tensor-parallelism","slug":"tensor-parallelism","lang":"tr","title":"Tensor Paralelliği","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:51.358Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.920Z","tags":["Tensor Parallelism","Distributed Inference","LLM Serving","Scale"]}},{"page_content":"# Tensor Parallelism\n\n**Definition:** A technique that scales inference and training by splitting large model computations across devices within layers.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tensor-parallelism","slug":"tensor-parallelism","lang":"en","title":"Tensor Parallelism","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:19:51.358Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:46.920Z","tags":["Tensor Parallelism","Distributed Inference","LLM Serving","Scale"]}},{"page_content":"# Terminoloji Kısıtlı Çeviri\n\n**Definition:** Belirli terimlerin zorunlu çeviri karşılıklarını koruyarak çeviri yapan kontrollü makine çevirisi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/terminology-constrained-translation","slug":"terminology-constrained-translation","lang":"tr","title":"Terminoloji Kısıtlı Çeviri","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:34.371Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.911Z","tags":["Terminology Constraints","Machine Translation","Controlled Generation","Enterprise NLP"]}},{"page_content":"# Terminology-Constrained Translation\n\n**Definition:** A controlled machine translation approach that preserves required translation equivalents for specific terms.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/terminology-constrained-translation","slug":"terminology-constrained-translation","lang":"en","title":"Terminology-Constrained Translation","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:45:34.371Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.911Z","tags":["Terminology Constraints","Machine Translation","Controlled Generation","Enterprise NLP"]}},{"page_content":"# Ters Matris\n\n**Definition:** Bir lineer dönüşümü geri almayı sağlayan ve yalnızca tam rank matrisler için tanımlı olan matris yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/ters-matris","slug":"ters-matris","lang":"tr","title":"Ters Matris","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:59.786Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.773Z","tags":["Inverse Matrix","Linear Systems","Numerical Stability","Matrix Algebra"]}},{"page_content":"# Inverse Matrix\n\n**Definition:** A matrix that reverses a linear transformation and is defined only for full-rank matrices.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/ters-matris","slug":"ters-matris","lang":"en","title":"Inverse Matrix","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:44:59.786Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:49.773Z","tags":["Inverse Matrix","Linear Systems","Numerical Stability","Matrix Algebra"]}},{"page_content":"# Test İstatistiği\n\n**Definition:** Verinin hipotez testi bağlamında ne kadar sıra dışı olduğunu özetleyen hesaplanmış ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/test-istatistigi","slug":"test-istatistigi","lang":"tr","title":"Test İstatistiği","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:37.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.866Z","tags":["Test Statistic","Hypothesis Testing","Evidence","Statistical Inference"]}},{"page_content":"# Test Statistic\n\n**Definition:** A computed measure that summarizes how unusual the data is in the context of a hypothesis test.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/test-istatistigi","slug":"test-istatistigi","lang":"en","title":"Test Statistic","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:37.244Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.866Z","tags":["Test Statistic","Hypothesis Testing","Evidence","Statistical Inference"]}},{"page_content":"# Metin Sınıflandırma\n\n**Definition:** Bir metni önceden tanımlı kategori, niyet veya etiketlerden birine ya da birkaçına atama görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-classification","slug":"text-classification","lang":"tr","title":"Metin Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:52:36.281Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.025Z","tags":["Text Classification","Intent Detection","Document Routing","NLP"]}},{"page_content":"# Text Classification\n\n**Definition:** The task of assigning a text to one or more predefined categories, intents, or labels.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-classification","slug":"text-classification","lang":"en","title":"Text Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:52:36.281Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.025Z","tags":["Text Classification","Intent Detection","Document Routing","NLP"]}},{"page_content":"# Metin Yinelenme Giderme\n\n**Definition:** Aynı ya da çok benzer metin örneklerini veri setinden ayıklayarak eğitim ve değerlendirme kalitesini artıran süreç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-deduplication","slug":"text-deduplication","lang":"tr","title":"Metin Yinelenme Giderme","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:37:24.280Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.766Z","tags":["Deduplication","Corpus Curation","Data Quality","LLM"]}},{"page_content":"# Text Deduplication\n\n**Definition:** A process that removes identical or near-duplicate text samples from a dataset to improve training and evaluation quality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-deduplication","slug":"text-deduplication","lang":"en","title":"Text Deduplication","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:37:24.280Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.766Z","tags":["Deduplication","Corpus Curation","Data Quality","LLM"]}},{"page_content":"# Metne Bağımlı Konuşmacı Doğrulama\n\n**Definition:** Konuşmacının belirli bir parola veya sabit ifadeyi söylemesine dayalı daha kontrollü ses doğrulama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-dependent-speaker-verification","slug":"text-dependent-speaker-verification","lang":"tr","title":"Metne Bağımlı Konuşmacı Doğrulama","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:56.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.157Z","tags":["Text-Dependent Verification","Voice Biometrics","Security","Audio"]}},{"page_content":"# Text-Dependent Speaker Verification\n\n**Definition:** A more controlled speaker verification approach in which the speaker says a fixed phrase or passphrase.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-dependent-speaker-verification","slug":"text-dependent-speaker-verification","lang":"en","title":"Text-Dependent Speaker Verification","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:58:56.385Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.157Z","tags":["Text-Dependent Verification","Voice Biometrics","Security","Audio"]}},{"page_content":"# Belge İçinde Metin Tespiti\n\n**Definition:** Karakter tanımadan önce yazı bölgelerinin konumunu belirleyen document vision görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-detection-in-documents","slug":"text-detection-in-documents","lang":"tr","title":"Belge İçinde Metin Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:58:58.876Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.878Z","tags":["Text Detection","OCR","Document Layout","Localization"]}},{"page_content":"# Text Detection in Documents\n\n**Definition:** A document vision task that locates text regions before character recognition is performed.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-detection-in-documents","slug":"text-detection-in-documents","lang":"en","title":"Text Detection in Documents","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:58:58.876Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:33.878Z","tags":["Text Detection","OCR","Document Layout","Localization"]}},{"page_content":"# Metin Normalizasyonu\n\n**Definition:** Ham metni daha tutarlı ve işlenebilir hale getirmek için yazım, biçim ve karakter düzeyinde standartlaştırma süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-normalization","slug":"text-normalization","lang":"tr","title":"Metin Normalizasyonu","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:16.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.423Z","tags":["Text Normalization","Preprocessing","NLP Pipeline","Data Quality"]}},{"page_content":"# Text Normalization\n\n**Definition:** The process of standardizing raw text at the spelling, formatting, and character levels to make it more consistent and processable.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-normalization","slug":"text-normalization","lang":"en","title":"Text Normalization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:16.767Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.423Z","tags":["Text Normalization","Preprocessing","NLP Pipeline","Data Quality"]}},{"page_content":"# Metinden Görüntü Üretimi\n\n**Definition:** Doğal dilde verilen istemlerden yeni görseller sentezleyen üretken model yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/text-to-image-generation","slug":"text-to-image-generation","lang":"tr","title":"Metinden Görüntü Üretimi","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:15:07.326Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.507Z","tags":["Text-to-Image","Multimodal Generation","Image Synthesis","Generative AI"]}},{"page_content":"# Text-to-Image Generation\n\n**Definition:** A generative modeling approach that synthesizes new images from natural language prompts.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/text-to-image-generation","slug":"text-to-image-generation","lang":"en","title":"Text-to-Image Generation","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:15:07.326Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.507Z","tags":["Text-to-Image","Multimodal Generation","Image Synthesis","Generative AI"]}},{"page_content":"# Eşik Kaydırma\n\n**Definition:** Dengesiz sınıflarda sınıf tahmin eşiğini iş hedefi ve hata maliyetine göre ayarlama yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/threshold-moving","slug":"threshold-moving","lang":"tr","title":"Eşik Kaydırma","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:48:03.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.533Z","tags":["Threshold Moving","Imbalanced Data","Decision Threshold","Precision Recall"]}},{"page_content":"# Threshold Moving\n\n**Definition:** An approach that adjusts the classification threshold according to business goals and error costs in imbalanced settings.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/threshold-moving","slug":"threshold-moving","lang":"en","title":"Threshold Moving","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T22:48:03.538Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:42.533Z","tags":["Threshold Moving","Imbalanced Data","Decision Threshold","Precision Recall"]}},{"page_content":"# Tip I ve Tip II Hata\n\n**Definition:** Hipotez testlerinde yanlış alarm verme ile gerçek etkiyi kaçırma arasında oluşan iki temel hata türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tip-i-ve-tip-ii-hata","slug":"tip-i-ve-tip-ii-hata","lang":"tr","title":"Tip I ve Tip II Hata","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:46:52.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.777Z","tags":["Type I Error","Type II Error","Testing","Risk"]}},{"page_content":"# Type I and Type II Error\n\n**Definition:** The two fundamental error types in hypothesis testing: false alarm and failing to detect a real effect.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tip-i-ve-tip-ii-hata","slug":"tip-i-ve-tip-ii-hata","lang":"en","title":"Type I and Type II Error","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:46:52.420Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.777Z","tags":["Type I Error","Type II Error","Testing","Risk"]}},{"page_content":"# Token Hizalama\n\n**Definition:** Alt kelime tokenları ile özgün kelime veya span yapıları arasındaki eşlemeyi koruma problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/token-alignment","slug":"token-alignment","lang":"tr","title":"Token Hizalama","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:42.320Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.115Z","tags":["Token Alignment","Subword Models","NER","Span Extraction"]}},{"page_content":"# Token Alignment\n\n**Definition:** The problem of preserving the mapping between subword tokens and original word or span structures.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/token-alignment","slug":"token-alignment","lang":"en","title":"Token Alignment","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:36:42.320Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:13.115Z","tags":["Token Alignment","Subword Models","NER","Span Extraction"]}},{"page_content":"# Tokenization\n\n**Definition:** Metni modelin işleyebileceği parçacıklara ayıran temel dil işleme adımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tokenization","slug":"tokenization","lang":"tr","title":"Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:37.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.870Z","tags":["Tokenization","Vocabulary","Text Representation","NLP"]}},{"page_content":"# Tokenization\n\n**Definition:** The core language processing step that splits text into units that a model can process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tokenization","slug":"tokenization","lang":"en","title":"Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:37.180Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.870Z","tags":["Tokenization","Vocabulary","Text Representation","NLP"]}},{"page_content":"# Tokenizer\n\n**Definition:** Metni modelin işleyebileceği token birimlerine dönüştüren temel ara katman.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tokenizer","slug":"tokenizer","lang":"tr","title":"Tokenizer","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:20:52.170Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.291Z","tags":["Tokenizer","Tokens","LLM Infrastructure","Language Modeling"]}},{"page_content":"# Tokenizer\n\n**Definition:** A core intermediary layer that converts text into tokens the model can process.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tokenizer","slug":"tokenizer","lang":"en","title":"Tokenizer","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:20:52.170Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:45.291Z","tags":["Tokenizer","Tokens","LLM Infrastructure","Language Modeling"]}},{"page_content":"# Araç Destekli Üretim\n\n**Definition:** Modelin hesaplama, arama veya dış sistem çağrıları gibi araçları kullanarak daha doğru sonuç üretmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tool-augmented-generation","slug":"tool-augmented-generation","lang":"tr","title":"Araç Destekli Üretim","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:25:54.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.409Z","tags":["Tool Use","Grounding","Agents","LLM"]}},{"page_content":"# Tool-Augmented Generation\n\n**Definition:** An approach in which the model uses tools such as computation, search, or external system calls to produce more accurate results.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tool-augmented-generation","slug":"tool-augmented-generation","lang":"en","title":"Tool-Augmented Generation","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T21:25:54.758Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.409Z","tags":["Tool Use","Grounding","Agents","LLM"]}},{"page_content":"# Toplam Olasılık Yasası\n\n**Definition:** Bir olayın toplam olasılığını, onu oluşturan ayrık durumların katkılarını birleştirerek hesaplayan temel kural.","metadata":{"source":"https://sukruyusufkaya.com/glossary/toplam-olasilik-yasasi","slug":"toplam-olasilik-yasasi","lang":"tr","title":"Toplam Olasılık Yasası","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:21.122Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.221Z","tags":["Total Probability","Bayes","Inference","Scenarios"]}},{"page_content":"# Law of Total Probability\n\n**Definition:** A fundamental rule for computing the total probability of an event by combining contributions from distinct cases.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/toplam-olasilik-yasasi","slug":"toplam-olasilik-yasasi","lang":"en","title":"Law of Total Probability","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:21.122Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.221Z","tags":["Total Probability","Bayes","Inference","Scenarios"]}},{"page_content":"# Toplu Öğrenme\n\n**Definition:** Modelin sabit bir veri kümesi üzerinde toplu olarak eğitildiği ve belirli aralıklarla yeniden güncellendiği öğrenme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/toplu-ogrenme","slug":"toplu-ogrenme","lang":"tr","title":"Toplu Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:46.189Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.056Z","tags":["Batch Learning","Eğitim","Kararlılık","Kurumsal AI"]}},{"page_content":"# Batch Learning\n\n**Definition:** A learning approach in which the model is trained on a fixed dataset in batches and updated periodically.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/toplu-ogrenme","slug":"toplu-ogrenme","lang":"en","title":"Batch Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:46.189Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.056Z","tags":["Batch Learning","Eğitim","Kararlılık","Kurumsal AI"]}},{"page_content":"# Toksisite Tespiti\n\n**Definition:** Hakaret, saldırganlık, nefret söylemi veya zararlı dil kullanımını belirlemeye yönelik güvenlik odaklı NLP görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/toxicity-detection","slug":"toxicity-detection","lang":"tr","title":"Toksisite Tespiti","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:42.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.093Z","tags":["Toxicity Detection","Moderation","Safety","NLP"]}},{"page_content":"# Toxicity Detection\n\n**Definition:** A safety-focused NLP task aimed at identifying insults, aggression, hate speech, or other harmful language use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/toxicity-detection","slug":"toxicity-detection","lang":"en","title":"Toxicity Detection","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:38:42.850Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:14.093Z","tags":["Toxicity Detection","Moderation","Safety","NLP"]}},{"page_content":"# Detection Tabanlı Takip\n\n**Definition:** Her karede nesne tespiti yapıp sonuçları zaman boyunca eşleyerek takip oluşturan yaygın yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tracking-by-detection","slug":"tracking-by-detection","lang":"tr","title":"Detection Tabanlı Takip","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:11.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.051Z","tags":["Tracking-by-Detection","MOT","Detection","Video Vision"]}},{"page_content":"# Tracking-by-Detection\n\n**Definition:** A common approach that performs object detection on each frame and builds tracks by associating detections over time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tracking-by-detection","slug":"tracking-by-detection","lang":"en","title":"Tracking-by-Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:11.287Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.051Z","tags":["Tracking-by-Detection","MOT","Detection","Video Vision"]}},{"page_content":"# Train-Serve Skew\n\n**Definition:** Modelin eğitimde gördüğü veri ile üretim anında karşılaştığı veri arasında oluşan dönüşüm veya içerik farkı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/train-serve-skew","slug":"train-serve-skew","lang":"tr","title":"Train-Serve Skew","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:30.675Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.492Z","tags":["Train-Serve Skew","Production ML","Feature Consistency","MLOps"]}},{"page_content":"# Train-Serve Skew\n\n**Definition:** A mismatch between the data seen during training and the data encountered in production at serving time.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/train-serve-skew","slug":"train-serve-skew","lang":"en","title":"Train-Serve Skew","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:30.675Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.492Z","tags":["Train-Serve Skew","Production ML","Feature Consistency","MLOps"]}},{"page_content":"# Görüde Transfer Learning\n\n**Definition:** Büyük veriyle önceden eğitilmiş görsel modellerin yeni görevler için yeniden kullanılmasına dayanan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transfer-learning-in-vision","slug":"transfer-learning-in-vision","lang":"tr","title":"Görüde Transfer Learning","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:56.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.971Z","tags":["Transfer Learning","Pretrained Models","Vision","Fine-Tuning"]}},{"page_content":"# Transfer Learning in Vision\n\n**Definition:** An approach based on reusing visual models pretrained on large datasets for new tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transfer-learning-in-vision","slug":"transfer-learning-in-vision","lang":"en","title":"Transfer Learning in Vision","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:40:56.175Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:30.971Z","tags":["Transfer Learning","Pretrained Models","Vision","Fine-Tuning"]}},{"page_content":"# Transfer Öğrenme\n\n**Definition:** Bir görevde öğrenilen bilginin ilişkili başka bir göreve taşınarak eğitim maliyetinin ve veri ihtiyacının azaltılması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transfer-ogrenme","slug":"transfer-ogrenme","lang":"tr","title":"Transfer Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:10.284Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.362Z","tags":["Transfer Learning","Ön Eğitim","Uyarlama","Verimlilik"]}},{"page_content":"# Transfer Learning\n\n**Definition:** An approach in which knowledge learned from one task is transferred to a related task to reduce training cost and data requirements.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transfer-ogrenme","slug":"transfer-ogrenme","lang":"en","title":"Transfer Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:43:10.284Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:02.362Z","tags":["Transfer Learning","Ön Eğitim","Uyarlama","Verimlilik"]}},{"page_content":"# Transfer Edilebilirlik\n\n**Definition:** Bir modelin ön eğitim sırasında edindiği bilgiyi farklı görevlere ve alanlara taşıyabilme yeteneği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transferability","slug":"transferability","lang":"tr","title":"Transfer Edilebilirlik","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:53:05.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.986Z","tags":["Transferability","Generalization","Downstream Tasks","Foundation Models"]}},{"page_content":"# Transferability\n\n**Definition:** The ability of a model to transfer what it learned during pretraining into different tasks and domains.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transferability","slug":"transferability","lang":"en","title":"Transferability","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T22:53:05.892Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:44.986Z","tags":["Transferability","Generalization","Downstream Tasks","Foundation Models"]}},{"page_content":"# Dönüşüm Denetim Zinciri\n\n**Definition:** Veri dönüşümlerinin hangi sırayla, hangi mantıkla ve hangi sürüm altında yapıldığını denetlenebilir biçimde saklayan iz yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transformation-audit-chain","slug":"transformation-audit-chain","lang":"tr","title":"Dönüşüm Denetim Zinciri","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:45.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.412Z","tags":["Audit Chain","Transformation","Lineage","Compliance"]}},{"page_content":"# Transformation Audit Chain\n\n**Definition:** A trace structure that stores, in auditable form, in what order, under what logic, and under which version data transformations were applied.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transformation-audit-chain","slug":"transformation-audit-chain","lang":"en","title":"Transformation Audit Chain","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:44:45.144Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.412Z","tags":["Audit Chain","Transformation","Lineage","Compliance"]}},{"page_content":"# Dönüşüm Katmanı\n\n**Definition:** Ham veriyi analitik veya operasyonel kullanım için yeniden şekillendiren kurallı işleme katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transformation-layer","slug":"transformation-layer","lang":"tr","title":"Dönüşüm Katmanı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:55:26.720Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.388Z","tags":["Transformation Layer","Data Modeling","Business Rules","Processing"]}},{"page_content":"# Transformation Layer\n\n**Definition:** A rule-driven processing layer that reshapes raw data for analytical or operational use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transformation-layer","slug":"transformation-layer","lang":"en","title":"Transformation Layer","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:55:26.720Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:34.388Z","tags":["Transformation Layer","Data Modeling","Business Rules","Processing"]}},{"page_content":"# Transformer Feed-Forward Network\n\n**Definition:** Her token üzerinde bağımsız çalışan ve temsil dönüşümünü güçlendiren Transformer alt bloğu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transformer-feed-forward-network","slug":"transformer-feed-forward-network","lang":"tr","title":"Transformer Feed-Forward Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:26.423Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.701Z","tags":["FFN","Transformers","Representation Learning","Architecture"]}},{"page_content":"# Transformer Feed-Forward Network\n\n**Definition:** A Transformer sub-block that operates independently on each token and strengthens representation transformation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transformer-feed-forward-network","slug":"transformer-feed-forward-network","lang":"en","title":"Transformer Feed-Forward Network","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:26.423Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:47.701Z","tags":["FFN","Transformers","Representation Learning","Architecture"]}},{"page_content":"# Transposed Convolution\n\n**Definition:** Özellik haritalarını daha yüksek uzamsal çözünürlüğe taşıyan öğrenilebilir yukarı örnekleme katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/transposed-convolution","slug":"transposed-convolution","lang":"tr","title":"Transposed Convolution","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:23.510Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.211Z","tags":["Transposed Convolution","Upsampling","CNN","Generative Models"]}},{"page_content":"# Transposed Convolution\n\n**Definition:** A learnable upsampling layer that maps feature maps to higher spatial resolution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/transposed-convolution","slug":"transposed-convolution","lang":"en","title":"Transposed Convolution","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:23.510Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.211Z","tags":["Transposed Convolution","Upsampling","CNN","Generative Models"]}},{"page_content":"# Tree-Structured Parzen Estimator\n\n**Definition:** Geçmiş denemelere göre iyi ve kötü bölgeleri modelleyerek yeni hiperparametre adayları öneren Bayesyen arama yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tree-structured-parzen-estimator","slug":"tree-structured-parzen-estimator","lang":"tr","title":"Tree-Structured Parzen Estimator","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:40:59.084Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:07.174Z","tags":["TPE","Bayesian Search","Hyperparameter Optimization","AutoML"]}},{"page_content":"# Tree-Structured Parzen Estimator\n\n**Definition:** A Bayesian search method that proposes new hyperparameter candidates by modeling good and bad regions based on previous trials.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tree-structured-parzen-estimator","slug":"tree-structured-parzen-estimator","lang":"en","title":"Tree-Structured Parzen Estimator","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:40:59.084Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:07.174Z","tags":["TPE","Bayesian Search","Hyperparameter Optimization","AutoML"]}},{"page_content":"# Triplet Loss\n\n**Definition:** Benzer örnekleri birbirine yaklaştırıp farklı örnekleri uzaklaştırmayı hedefleyen temsil öğrenmesi kaybı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/triplet-loss","slug":"triplet-loss","lang":"tr","title":"Triplet Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:00.953Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.506Z","tags":["Triplet Loss","Metric Learning","Embeddings","Similarity"]}},{"page_content":"# Triplet Loss\n\n**Definition:** A representation learning loss that pulls similar examples closer together and pushes dissimilar ones apart.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/triplet-loss","slug":"triplet-loss","lang":"en","title":"Triplet Loss","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:45:00.953Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.506Z","tags":["Triplet Loss","Metric Learning","Embeddings","Similarity"]}},{"page_content":"# Kısaltılmış BPTT\n\n**Definition:** Uzun sekanslarda geri yayılımı sınırlı pencere üzerinde yaparak eğitimi daha hesaplanabilir hale getiren yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/truncated-bptt","slug":"truncated-bptt","lang":"tr","title":"Kısaltılmış BPTT","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:31.178Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.566Z","tags":["Truncated BPTT","RNN","Efficiency","Sequence Learning"]}},{"page_content":"# Truncated BPTT\n\n**Definition:** A method that makes training more tractable on long sequences by applying backpropagation over a limited window.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/truncated-bptt","slug":"truncated-bptt","lang":"en","title":"Truncated BPTT","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:31.178Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:32.566Z","tags":["Truncated BPTT","RNN","Efficiency","Sequence Learning"]}},{"page_content":"# Truncated SVD\n\n**Definition:** Özellikle seyrek matrislerde boyut indirgeme için kullanılan kesilmiş tekil değer ayrışımı yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/truncated-svd","slug":"truncated-svd","lang":"tr","title":"Truncated SVD","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:29.776Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.410Z","tags":["Truncated SVD","Sparse Data","Dimensionality Reduction","Text Mining"]}},{"page_content":"# Truncated SVD\n\n**Definition:** A truncated singular value decomposition method used for dimensionality reduction, especially in sparse matrices.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/truncated-svd","slug":"truncated-svd","lang":"en","title":"Truncated SVD","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:00:29.776Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.410Z","tags":["Truncated SVD","Sparse Data","Dimensionality Reduction","Text Mining"]}},{"page_content":"# Türetilmiş Özellik\n\n**Definition:** Ham veriden doğrudan gelmeyen, mevcut alanlardan hesaplanan veya dönüştürülen yeni özellik.","metadata":{"source":"https://sukruyusufkaya.com/glossary/turetilmis-ozellik","slug":"turetilmis-ozellik","lang":"tr","title":"Türetilmiş Özellik","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:54.471Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.475Z","tags":["Derived Feature","Feature Engineering","Domain Knowledge","Modeling"]}},{"page_content":"# Derived Feature\n\n**Definition:** A new feature computed or transformed from existing fields rather than directly coming from raw data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/turetilmis-ozellik","slug":"turetilmis-ozellik","lang":"en","title":"Derived Feature","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:44:54.471Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:26.475Z","tags":["Derived Feature","Feature Engineering","Domain Knowledge","Modeling"]}},{"page_content":"# Türev\n\n**Definition:** Bir fonksiyonun belirli bir noktadaki değişim hızını ve eğimini ölçen temel matematiksel kavram.","metadata":{"source":"https://sukruyusufkaya.com/glossary/turev","slug":"turev","lang":"tr","title":"Türev","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:59:18.925Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.412Z","tags":["Derivative","Change","Slope","Optimization"]}},{"page_content":"# Derivative\n\n**Definition:** A fundamental mathematical concept that measures the rate of change and slope of a function at a given point.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/turev","slug":"turev","lang":"en","title":"Derivative","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:59:18.925Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:49.412Z","tags":["Derivative","Change","Slope","Optimization"]}},{"page_content":"# Turing Testi\n\n**Definition:** Bir makinenin insan benzeri iletişim kurup kuramadığını sorgulayan ve AI tarihinin en sembolik düşünce deneylerinden biri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/turing-testi","slug":"turing-testi","lang":"tr","title":"Turing Testi","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:30.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.457Z","tags":["Turing","AI History","Felsefe","Değerlendirme"]}},{"page_content":"# Turing Test\n\n**Definition:** One of the most symbolic thought experiments in AI history, asking whether a machine can communicate in a human-like way.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/turing-testi","slug":"turing-testi","lang":"en","title":"Turing Test","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:46:30.384Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.457Z","tags":["Turing","AI History","Felsefe","Değerlendirme"]}},{"page_content":"# Tutarlılık\n\n**Definition:** Örneklem büyüdükçe bir kestiricinin gerçek değere yakınsama özelliği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/tutarlilik","slug":"tutarlilik","lang":"tr","title":"Tutarlılık","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:42.988Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.674Z","tags":["Consistency","Estimator","Statistics","Inference"]}},{"page_content":"# Consistency\n\n**Definition:** The property of an estimator converging to the true value as the sample size grows.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/tutarlilik","slug":"tutarlilik","lang":"en","title":"Consistency","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:44:42.988Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.674Z","tags":["Consistency","Estimator","Statistics","Inference"]}},{"page_content":"# İki Aşamalı Tespit Edici\n\n**Definition:** Önce aday bölge önerip sonra bu bölgeleri sınıflandırarak daha hassas nesne tespiti yapan mimari yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/two-stage-detector","slug":"two-stage-detector","lang":"tr","title":"İki Aşamalı Tespit Edici","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:37.042Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.827Z","tags":["Two-Stage Detector","Faster R-CNN","Detection","High Precision"]}},{"page_content":"# Two-Stage Detector\n\n**Definition:** An architectural approach that first proposes candidate regions and then classifies them for more precise object detection.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/two-stage-detector","slug":"two-stage-detector","lang":"en","title":"Two-Stage Detector","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:37.042Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.827Z","tags":["Two-Stage Detector","Faster R-CNN","Detection","High Precision"]}},{"page_content":"# U-Net\n\n**Definition:** Özellikle biyomedikal ve piksel düzeyli görevlerde etkili olan encoder-decoder tabanlı segmentasyon mimarisi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/u-net","slug":"u-net","lang":"tr","title":"U-Net","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:16.738Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.386Z","tags":["U-Net","Segmentation","Biomedical Imaging","Encoder-Decoder"]}},{"page_content":"# U-Net\n\n**Definition:** An encoder-decoder segmentation architecture especially effective in biomedical and pixel-level tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/u-net","slug":"u-net","lang":"en","title":"U-Net","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:46:16.738Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:32.386Z","tags":["U-Net","Segmentation","Biomedical Imaging","Encoder-Decoder"]}},{"page_content":"# UMAP\n\n**Definition:** Hem yerel hem de küresel veri yapısını korumaya çalışan modern ve hızlı bir boyut indirgeme tekniği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/umap","slug":"umap","lang":"tr","title":"UMAP","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:05.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.864Z","tags":["UMAP","Dimensionality Reduction","Visualization","Embeddings"]}},{"page_content":"# UMAP\n\n**Definition:** A modern and efficient dimensionality reduction technique that attempts to preserve both local and global data structure.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/umap","slug":"umap","lang":"en","title":"UMAP","category":"makine-ogrenmesi","updatedAt":"2026-06-27T23:39:05.666Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:47.864Z","tags":["UMAP","Dimensionality Reduction","Visualization","Embeddings"]}},{"page_content":"# Belirsizlik Kalibrasyonu\n\n**Definition:** Model güveninin, gerçek doğruluk düzeyiyle daha uyumlu hale getirilmesini amaçlayan kalite yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/uncertainty-calibration","slug":"uncertainty-calibration","lang":"tr","title":"Belirsizlik Kalibrasyonu","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:53.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.291Z","tags":["Calibration","Uncertainty","Reliability","LLM"]}},{"page_content":"# Uncertainty Calibration\n\n**Definition:** A quality approach aimed at making model confidence better aligned with actual correctness.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/uncertainty-calibration","slug":"uncertainty-calibration","lang":"en","title":"Uncertainty Calibration","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-28T00:46:53.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:48.291Z","tags":["Calibration","Uncertainty","Reliability","LLM"]}},{"page_content":"# Azaltılmış Örnekleme\n\n**Definition:** Baskın sınıfın örnek sayısını azaltarak sınıf dağılımını daha dengeli hale getirme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/undersampling","slug":"undersampling","lang":"tr","title":"Azaltılmış Örnekleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:17.668Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.727Z","tags":["Undersampling","Imbalanced Data","Majority Class","Resampling"]}},{"page_content":"# Undersampling\n\n**Definition:** An approach that reduces the number of majority-class examples to produce a more balanced class distribution.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/undersampling","slug":"undersampling","lang":"en","title":"Undersampling","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:36:17.668Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:29.727Z","tags":["Undersampling","Imbalanced Data","Majority Class","Resampling"]}},{"page_content":"# Unicode Normalizasyonu\n\n**Definition:** Aynı görünen ancak farklı kodlama biçimlerine sahip karakterleri standart forma dönüştürme işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/unicode-normalization","slug":"unicode-normalization","lang":"tr","title":"Unicode Normalizasyonu","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:17:29.965Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.516Z","tags":["Unicode","Normalization","Multilingual NLP","Preprocessing"]}},{"page_content":"# Unicode Normalization\n\n**Definition:** The process of converting visually identical but differently encoded characters into a standard form.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/unicode-normalization","slug":"unicode-normalization","lang":"en","title":"Unicode Normalization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:17:29.965Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:55.516Z","tags":["Unicode","Normalization","Multilingual NLP","Preprocessing"]}},{"page_content":"# Uniform Dağılım\n\n**Definition:** Belirli bir aralıktaki tüm değerlerin eşit olasılıkla gerçekleştiği dağılım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/uniform-dagilim","slug":"uniform-dagilim","lang":"tr","title":"Uniform Dağılım","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:54.905Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.414Z","tags":["Uniform Distribution","Sampling","Simulation","Probability"]}},{"page_content":"# Uniform Distribution\n\n**Definition:** A distribution in which all values within a given interval are equally likely.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/uniform-dagilim","slug":"uniform-dagilim","lang":"en","title":"Uniform Distribution","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:42:54.905Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:48.414Z","tags":["Uniform Distribution","Sampling","Simulation","Probability"]}},{"page_content":"# Unigram Dil Modeli Tokenization\n\n**Definition:** Alt birim sözlüğünü olasılıksal biçimde öğrenerek token parçalanmasını veri uyumlu hale getiren yöntem.","metadata":{"source":"https://sukruyusufkaya.com/glossary/unigram-language-model-tokenization","slug":"unigram-language-model-tokenization","lang":"tr","title":"Unigram Dil Modeli Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:29.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.940Z","tags":["Unigram Tokenization","SentencePiece","Subword Modeling","NLP"]}},{"page_content":"# Unigram Language Model Tokenization\n\n**Definition:** A method that learns a subunit vocabulary probabilistically to make token segmentation more data-aligned.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/unigram-language-model-tokenization","slug":"unigram-language-model-tokenization","lang":"en","title":"Unigram Language Model Tokenization","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:39:29.553Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:01:12.940Z","tags":["Unigram Tokenization","SentencePiece","Subword Modeling","NLP"]}},{"page_content":"# Evrensel Yaklaştırma Teoremi\n\n**Definition:** Yeterli kapasiteye sahip bir sinir ağının çok geniş bir fonksiyon sınıfını yaklaşık olarak öğrenebileceğini ifade eden kuramsal sonuç.","metadata":{"source":"https://sukruyusufkaya.com/glossary/universal-approximation-theorem","slug":"universal-approximation-theorem","lang":"tr","title":"Evrensel Yaklaştırma Teoremi","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:26.131Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.578Z","tags":["Theory","Approximation","Neural Networks","Representation"]}},{"page_content":"# Universal Approximation Theorem\n\n**Definition:** A theoretical result stating that a neural network with sufficient capacity can approximate a very broad class of functions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/universal-approximation-theorem","slug":"universal-approximation-theorem","lang":"en","title":"Universal Approximation Theorem","category":"derin-ogrenme","updatedAt":"2026-06-27T23:36:26.131Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:30.578Z","tags":["Theory","Approximation","Neural Networks","Representation"]}},{"page_content":"# Üretken Yapay Zekâ\n\n**Definition:** Metin, görsel, ses, video veya kod gibi yeni içerikler üretebilen yapay zekâ sistemleri sınıfı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/uretken-yapay-zeka","slug":"uretken-yapay-zeka","lang":"tr","title":"Üretken Yapay Zekâ","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:56.118Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.408Z","tags":["Generative AI","LLM","Üretim","İçerik"]}},{"page_content":"# Generative AI\n\n**Definition:** A class of AI systems capable of generating new content such as text, images, audio, video, or code.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/uretken-yapay-zeka","slug":"uretken-yapay-zeka","lang":"en","title":"Generative AI","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:56.118Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.408Z","tags":["Generative AI","LLM","Üretim","İçerik"]}},{"page_content":"# Kullanım Metadata'sı\n\n**Definition:** Bir veri varlığının kimler tarafından, ne sıklıkta ve hangi amaçlarla kullanıldığını gösteren metadata türü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/usage-metadata","slug":"usage-metadata","lang":"tr","title":"Kullanım Metadata'sı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:00.086Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.889Z","tags":["Usage Metadata","Adoption","Governance","Analytics"]}},{"page_content":"# Usage Metadata\n\n**Definition:** A type of metadata showing who uses a data asset, how often, and for what purposes.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/usage-metadata","slug":"usage-metadata","lang":"en","title":"Usage Metadata","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:00.086Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:36.889Z","tags":["Usage Metadata","Adoption","Governance","Analytics"]}},{"page_content":"# Uzaklık Metrği\n\n**Definition:** İki veri noktası arasındaki farkı veya ayrılığı sayısal olarak ölçen matematiksel fonksiyon.","metadata":{"source":"https://sukruyusufkaya.com/glossary/uzaklik-metrigi","slug":"uzaklik-metrigi","lang":"tr","title":"Uzaklık Metrği","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:22.358Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.984Z","tags":["Distance Metric","Benzerlik","Kümeleme","Vektör"]}},{"page_content":"# Distance Metric\n\n**Definition:** A mathematical function that numerically measures the difference or separation between two data points.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/uzaklik-metrigi","slug":"uzaklik-metrigi","lang":"en","title":"Distance Metric","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:22.358Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:25.984Z","tags":["Distance Metric","Benzerlik","Kümeleme","Vektör"]}},{"page_content":"# Uzman Sistem\n\n**Definition:** Belirli bir alan uzmanlığını kurallar ve bilgi tabanı üzerinden modelleyerek çıkarım yapan klasik yapay zekâ yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/uzman-sistem","slug":"uzman-sistem","lang":"tr","title":"Uzman Sistem","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:54.059Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.278Z","tags":["Expert System","Kural Tabanlı","Bilgi Tabanı","Açıklanabilirlik"]}},{"page_content":"# Expert System\n\n**Definition:** A classical AI approach that models domain expertise through rules and a knowledge base to perform inference.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/uzman-sistem","slug":"uzman-sistem","lang":"en","title":"Expert System","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:44:54.059Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.278Z","tags":["Expert System","Kural Tabanlı","Bilgi Tabanı","Açıklanabilirlik"]}},{"page_content":"# Varyasyonel Autoencoder\n\n**Definition:** Latent uzayı olasılıksal biçimde modelleyerek hem temsil hem üretim yeteneği kazanan generatif autoencoder yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/variational-autoencoder","slug":"variational-autoencoder","lang":"tr","title":"Varyasyonel Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:25.329Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.516Z","tags":["VAE","Generative Models","Latent Space","Probabilistic Modeling"]}},{"page_content":"# Variational Autoencoder\n\n**Definition:** A generative autoencoder architecture that models the latent space probabilistically for both representation and generation.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/variational-autoencoder","slug":"variational-autoencoder","lang":"en","title":"Variational Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-28T00:44:25.329Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:19.516Z","tags":["VAE","Generative Models","Latent Space","Probabilistic Modeling"]}},{"page_content":"# Kestirici Varyansı\n\n**Definition:** Aynı yöntemin farklı örneklemler üzerinde ne kadar değişken sonuç ürettiğini gösteren ölçü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/varyans-kestirici","slug":"varyans-kestirici","lang":"tr","title":"Kestirici Varyansı","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:34.460Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.582Z","tags":["Variance","Estimator","Bias-Variance","Stability"]}},{"page_content":"# Estimator Variance\n\n**Definition:** A measure of how much a method’s results vary across different samples.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/varyans-kestirici","slug":"varyans-kestirici","lang":"en","title":"Estimator Variance","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:34.460Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.582Z","tags":["Variance","Estimator","Bias-Variance","Stability"]}},{"page_content":"# Varyans ve Standart Sapma\n\n**Definition:** Veri noktalarının ortalama etrafında ne kadar yayıldığını ölçen temel değişkenlik ölçüleri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/varyans-ve-standart-sapma","slug":"varyans-ve-standart-sapma","lang":"tr","title":"Varyans ve Standart Sapma","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:59.056Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.771Z","tags":["Variance","Standard Deviation","Spread","Data Analysis"]}},{"page_content":"# Variance and Standard Deviation\n\n**Definition:** Core measures of variability that quantify how spread out data points are around the mean.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/varyans-ve-standart-sapma","slug":"varyans-ve-standart-sapma","lang":"en","title":"Variance and Standard Deviation","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:47:59.056Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:47.771Z","tags":["Variance","Standard Deviation","Spread","Data Analysis"]}},{"page_content":"# Vektör Otoregresyon\n\n**Definition:** Birden fazla zaman serisinin birbirini etkileyen geçmiş değerlerini birlikte modelleyen çok değişkenli zaman serisi yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vector-autoregression","slug":"vector-autoregression","lang":"tr","title":"Vektör Otoregresyon","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:55:02.576Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.555Z","tags":["VAR","Time Series","Multivariate Forecasting","Dynamics"]}},{"page_content":"# Vector Autoregression\n\n**Definition:** A multivariate time series method that jointly models multiple series through their mutually influencing past values.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vector-autoregression","slug":"vector-autoregression","lang":"en","title":"Vector Autoregression","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:55:02.576Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:06.555Z","tags":["VAR","Time Series","Multivariate Forecasting","Dynamics"]}},{"page_content":"# Vektör Önbelleği\n\n**Definition:** Sık sorgulanan embedding veya retrieval sonuçlarını daha hızlı erişim için geçici olarak saklayan performans katmanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vector-cache","slug":"vector-cache","lang":"tr","title":"Vektör Önbelleği","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:52:37.136Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.062Z","tags":["Vector Cache","Performance","RAG","Semantic Search"]}},{"page_content":"# Vector Cache\n\n**Definition:** A performance layer that temporarily stores frequently requested embeddings or retrieval results for faster access.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vector-cache","slug":"vector-cache","lang":"en","title":"Vector Cache","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:52:37.136Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:38.062Z","tags":["Vector Cache","Performance","RAG","Semantic Search"]}},{"page_content":"# Vektör Veritabanı\n\n**Definition:** Embedding tabanlı arama ve benzerlik sorguları için optimize edilmiş yüksek boyutlu veri depolama ve erişim sistemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vector-database","slug":"vector-database","lang":"tr","title":"Vektör Veritabanı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:32.963Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.510Z","tags":["Vector Database","Embeddings","Similarity Search","RAG"]}},{"page_content":"# Vector Database\n\n**Definition:** A storage and retrieval system optimized for high-dimensional embedding data and similarity search.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vector-database","slug":"vector-database","lang":"en","title":"Vector Database","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:17:32.963Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:56.510Z","tags":["Vector Database","Embeddings","Similarity Search","RAG"]}},{"page_content":"# Vektör Normalizasyonu\n\n**Definition:** Embedding vektörlerinin büyüklük etkisini kontrol altına alarak daha tutarlı arama davranışı sağlama işlemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vector-normalization","slug":"vector-normalization","lang":"tr","title":"Vektör Normalizasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:18.274Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.792Z","tags":["Vector Normalization","Embeddings","Cosine Similarity","Preprocessing"]}},{"page_content":"# Vector Normalization\n\n**Definition:** The process of controlling embedding magnitude effects to produce more stable retrieval behavior.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vector-normalization","slug":"vector-normalization","lang":"en","title":"Vector Normalization","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:36:18.274Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:37.792Z","tags":["Vector Normalization","Embeddings","Cosine Similarity","Preprocessing"]}},{"page_content":"# Vector-Quantized Autoencoder\n\n**Definition:** Sürekli latent uzay yerine ayrık kod kitabı kullanan generatif autoencoder yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vector-quantized-autoencoder","slug":"vector-quantized-autoencoder","lang":"tr","title":"Vector-Quantized Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T22:45:59.064Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.549Z","tags":["VQ-AE","Discrete Latent Space","Generative Models","Representation Learning"]}},{"page_content":"# Vector-Quantized Autoencoder\n\n**Definition:** A generative autoencoder architecture that uses a discrete codebook instead of a continuous latent space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vector-quantized-autoencoder","slug":"vector-quantized-autoencoder","lang":"en","title":"Vector-Quantized Autoencoder","category":"derin-ogrenme","updatedAt":"2026-06-27T22:45:59.064Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:33.549Z","tags":["VQ-AE","Discrete Latent Space","Generative Models","Representation Learning"]}},{"page_content":"# Vektör\n\n**Definition:** Yönü ve büyüklüğü olan, lineer cebirin en temel veri temsillerinden biri.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vektor","slug":"vektor","lang":"tr","title":"Vektör","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:55.503Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.656Z","tags":["Vector","Lineer Cebir","Temsil","AI Matematiği"]}},{"page_content":"# Vector\n\n**Definition:** A quantity with direction and magnitude, and one of the most fundamental representations in linear algebra.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vektor","slug":"vektor","lang":"en","title":"Vector","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-28T00:45:55.503Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:46.656Z","tags":["Vector","Lineer Cebir","Temsil","AI Matematiği"]}},{"page_content":"# Veri Kaynağı\n\n**Definition:** Verinin üretildiği, saklandığı veya çekildiği sistem, platform ya da operasyonel temas noktası.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-kaynagi","slug":"veri-kaynagi","lang":"tr","title":"Veri Kaynağı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:33.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.073Z","tags":["Data Source","Metadata","Integration","Data Context"]}},{"page_content":"# Data Source\n\n**Definition:** The system, platform, or operational touchpoint where data is generated, stored, or retrieved.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-kaynagi","slug":"veri-kaynagi","lang":"en","title":"Data Source","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:33.861Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.073Z","tags":["Data Source","Metadata","Integration","Data Context"]}},{"page_content":"# Veri Kümesi\n\n**Definition:** Bir modelin öğrenmesini, değerlendirilmesini veya test edilmesini sağlayan organize veri bütünlüğü.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-kumesi","slug":"veri-kumesi","lang":"tr","title":"Veri Kümesi","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:34.747Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.635Z","tags":["Dataset","Veri","Eğitim","Kalite"]}},{"page_content":"# Dataset\n\n**Definition:** An organized collection of data that enables a model to be trained, evaluated, or tested.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-kumesi","slug":"veri-kumesi","lang":"en","title":"Dataset","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:34.747Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.635Z","tags":["Dataset","Veri","Eğitim","Kalite"]}},{"page_content":"# Veri Lineage\n\n**Definition:** Bir veri öğesinin kaynaktan rapora veya modele kadar geçtiği tüm dönüşüm ve hareket izinin görünür kılınması.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-lineage","slug":"veri-lineage","lang":"tr","title":"Veri Lineage","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:20.247Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.370Z","tags":["Data Lineage","Governance","Auditability","Traceability"]}},{"page_content":"# Data Lineage\n\n**Definition:** The visible trace of all movements and transformations a data element undergoes from source to report or model.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-lineage","slug":"veri-lineage","lang":"en","title":"Data Lineage","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:20.247Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.370Z","tags":["Data Lineage","Governance","Auditability","Traceability"]}},{"page_content":"# Veri Minimizasyonu\n\n**Definition:** Belirli bir amaç için yalnızca gerçekten gerekli olan verinin toplanması ve işlenmesi ilkesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-minimizasyonu","slug":"veri-minimizasyonu","lang":"tr","title":"Veri Minimizasyonu","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:55.055Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.771Z","tags":["Data Minimization","Privacy","Compliance","Responsible Data"]}},{"page_content":"# Data Minimization\n\n**Definition:** The principle of collecting and processing only the data that is truly necessary for a defined purpose.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-minimizasyonu","slug":"veri-minimizasyonu","lang":"en","title":"Data Minimization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:55.055Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.771Z","tags":["Data Minimization","Privacy","Compliance","Responsible Data"]}},{"page_content":"# Veri Sahipliği\n\n**Definition:** Belirli veri alanlarının kalite, tanım ve kullanım sorumluluğunun hangi iş veya teknik rolde olduğunu tanımlayan ilke.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-sahipligi","slug":"veri-sahipligi","lang":"tr","title":"Veri Sahipliği","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:33.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.078Z","tags":["Data Ownership","Governance","Responsibility","Data Quality"]}},{"page_content":"# Data Ownership\n\n**Definition:** The principle that defines which business or technical role is responsible for the quality, definition, and use of specific data domains.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-sahipligi","slug":"veri-sahipligi","lang":"en","title":"Data Ownership","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:33.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:28.078Z","tags":["Data Ownership","Governance","Responsibility","Data Quality"]}},{"page_content":"# Veri Sızıntısı\n\n**Definition:** Modelin eğitim sırasında gerçek kullanımda erişemeyeceği bilgileri dolaylı ya da doğrudan öğrenmesi nedeniyle performansın yanıltıcı görünmesi durumu.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-sizintisi","slug":"veri-sizintisi","lang":"tr","title":"Veri Sızıntısı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:56.551Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.906Z","tags":["Data Leakage","Değerlendirme","Model Riski","Veri"]}},{"page_content":"# Data Leakage\n\n**Definition:** A situation where model performance appears misleadingly strong because it has learned information during training that would not be available in real use.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-sizintisi","slug":"veri-sizintisi","lang":"en","title":"Data Leakage","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:45:56.551Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.906Z","tags":["Data Leakage","Değerlendirme","Model Riski","Veri"]}},{"page_content":"# Veri Sızıntısı Önleme\n\n**Definition:** Model eğitimi sırasında gerçek kullanım anında bulunmayacak bilginin öğrenmeye sızmasını engelleyen ön işleme disiplini.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-sizintisi-onleme","slug":"veri-sizintisi-onleme","lang":"tr","title":"Veri Sızıntısı Önleme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:48:23.772Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.318Z","tags":["Data Leakage","Preprocessing","Train-Test Split","Pipeline"]}},{"page_content":"# Leakage Prevention\n\n**Definition:** A preprocessing discipline that prevents information unavailable at real usage time from leaking into model training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-sizintisi-onleme","slug":"veri-sizintisi-onleme","lang":"en","title":"Leakage Prevention","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:48:23.772Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.318Z","tags":["Data Leakage","Preprocessing","Train-Test Split","Pipeline"]}},{"page_content":"# Veri Tipi Uyumsuzluğu\n\n**Definition:** Bir alanın beklenen veri tipi ile kaydedilen gerçek içerik tipi arasında oluşan uyumsuzluk problemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-tipi-uyumsuzlugu","slug":"veri-tipi-uyumsuzlugu","lang":"tr","title":"Veri Tipi Uyumsuzluğu","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:49:03.064Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.735Z","tags":["Data Type","Schema","Cleaning","Validation"]}},{"page_content":"# Data Type Mismatch\n\n**Definition:** A problem arising when the expected data type of a field differs from the actual stored content type.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-tipi-uyumsuzlugu","slug":"veri-tipi-uyumsuzlugu","lang":"en","title":"Data Type Mismatch","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:49:03.064Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.735Z","tags":["Data Type","Schema","Cleaning","Validation"]}},{"page_content":"# Veri Toplama\n\n**Definition:** Analiz, raporlama ve modelleme süreçlerinde kullanılacak verilerin sistematik biçimde elde edilmesi süreci.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-toplama","slug":"veri-toplama","lang":"tr","title":"Veri Toplama","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:01.596Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:24.982Z","tags":["Data Collection","Veri","Ölçüm","Pipeline"]}},{"page_content":"# Data Collection\n\n**Definition:** The systematic process of acquiring data for analysis, reporting, and modeling workflows.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-toplama","slug":"veri-toplama","lang":"en","title":"Data Collection","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:01.596Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:24.982Z","tags":["Data Collection","Veri","Ölçüm","Pipeline"]}},{"page_content":"# Veri Toplama SLA'sı\n\n**Definition:** Veri akışlarının zamanlılık, eksiksizlik ve erişilebilirlik standartlarını tanımlayan operasyonel hizmet seviyesi çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-toplama-sla","slug":"veri-toplama-sla","lang":"tr","title":"Veri Toplama SLA'sı","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:46:48.459Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.790Z","tags":["SLA","Data Freshness","Reliability","Operations"]}},{"page_content":"# Data Collection SLA\n\n**Definition:** An operational service-level framework that defines timeliness, completeness, and availability standards for data flows.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-toplama-sla","slug":"veri-toplama-sla","lang":"en","title":"Data Collection SLA","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:46:48.459Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:38.790Z","tags":["SLA","Data Freshness","Reliability","Operations"]}},{"page_content":"# Veri Yönetişimi\n\n**Definition:** Verinin sahiplik, kalite, erişim, kullanım ve denetim ilkeleriyle kurumsal ölçekte yönetilmesi çerçevesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/veri-yonetisimi","slug":"veri-yonetisimi","lang":"tr","title":"Veri Yönetişimi","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:49.675Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.935Z","tags":["Data Governance","Ownership","Compliance","Enterprise Data"]}},{"page_content":"# Data Governance\n\n**Definition:** The enterprise framework for managing data through ownership, quality, access, usage, and control principles.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/veri-yonetisimi","slug":"veri-yonetisimi","lang":"en","title":"Data Governance","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:43:49.675Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:27.935Z","tags":["Data Governance","Ownership","Compliance","Enterprise Data"]}},{"page_content":"# Doğrulama Döngüsü\n\n**Definition:** Model çıktısını ek kontrol, kaynak tarama veya ikinci aşama denetimle doğrulamaya çalışan iş akışı deseni.","metadata":{"source":"https://sukruyusufkaya.com/glossary/verification-loop","slug":"verification-loop","lang":"tr","title":"Doğrulama Döngüsü","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:15.724Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.589Z","tags":["Verification","Grounding","Reliability","LLM Workflow"]}},{"page_content":"# Verification Loop\n\n**Definition:** A workflow pattern that attempts to validate model output through additional checks, source review, or second-stage verification.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/verification-loop","slug":"verification-loop","lang":"en","title":"Verification Loop","category":"uretken-yapay-zeka-ve-llm","updatedAt":"2026-06-27T23:36:15.724Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T20:56:47.589Z","tags":["Verification","Grounding","Reliability","LLM Workflow"]}},{"page_content":"# Videoda Anomali Tespiti\n\n**Definition:** Normal davranış örüntülerinden sapmaları video akışı üzerinde tespit etmeye odaklanan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/video-anomaly-detection","slug":"video-anomaly-detection","lang":"tr","title":"Videoda Anomali Tespiti","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:10.382Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.588Z","tags":["Video Anomaly Detection","Surveillance","Behavior Analysis","Risk Monitoring"]}},{"page_content":"# Video Anomaly Detection\n\n**Definition:** A task focused on detecting deviations from normal behavior patterns in video streams.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/video-anomaly-detection","slug":"video-anomaly-detection","lang":"en","title":"Video Anomaly Detection","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:10.382Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.588Z","tags":["Video Anomaly Detection","Surveillance","Behavior Analysis","Risk Monitoring"]}},{"page_content":"# Video Özetleme\n\n**Definition:** Uzun video akışını bilgi kaybını azaltarak daha kısa, temsil gücü yüksek özet bölümlere dönüştüren görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/video-summarization","slug":"video-summarization","lang":"tr","title":"Video Özetleme","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:26:25.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.500Z","tags":["Video Summarization","Media Analytics","Surveillance","Temporal Understanding"]}},{"page_content":"# Video Summarization\n\n**Definition:** A task that compresses long video streams into shorter, high-representation summaries with minimal information loss.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/video-summarization","slug":"video-summarization","lang":"en","title":"Video Summarization","category":"bilgisayarli-goru","updatedAt":"2026-06-27T21:26:25.968Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:34.500Z","tags":["Video Summarization","Media Analytics","Surveillance","Temporal Understanding"]}},{"page_content":"# Video Transformer\n\n**Definition:** Video verisini zaman ve uzam boyunca tokenlaştırarak dikkat mekanizmalarıyla modelleyen modern mimari yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/video-transformer","slug":"video-transformer","lang":"tr","title":"Video Transformer","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.571Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.051Z","tags":["Video Transformer","Attention","Video Analytics","Temporal Modeling"]}},{"page_content":"# Video Transformer\n\n**Definition:** A modern architectural approach that tokenizes video across time and space and models it with attention mechanisms.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/video-transformer","slug":"video-transformer","lang":"en","title":"Video Transformer","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:41:45.571Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:47.051Z","tags":["Video Transformer","Attention","Video Analytics","Temporal Modeling"]}},{"page_content":"# Görü-Dil Modeli\n\n**Definition:** Görsel ve metinsel bilgiyi ortak temsil veya ortak üretim çerçevesinde birleştiren çok modlu model ailesi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vision-language-model","slug":"vision-language-model","lang":"tr","title":"Görü-Dil Modeli","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:53:10.580Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.413Z","tags":["Vision-Language Models","Multimodal AI","CLIP","VLM"]}},{"page_content":"# Vision-Language Model\n\n**Definition:** A multimodal model family that combines visual and textual information within a shared representation or generation framework.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vision-language-model","slug":"vision-language-model","lang":"en","title":"Vision-Language Model","category":"bilgisayarli-goru","updatedAt":"2026-06-27T22:53:10.580Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.413Z","tags":["Vision-Language Models","Multimodal AI","CLIP","VLM"]}},{"page_content":"# Vision Transformer Özellikleri\n\n**Definition:** Görüntüyü yama tabanlı tokenlara ayırarak küresel dikkat üzerinden temsil öğrenen modern görsel özellik yapısı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vision-transformer-features","slug":"vision-transformer-features","lang":"tr","title":"Vision Transformer Özellikleri","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:27.887Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.140Z","tags":["Vision Transformer","Feature Learning","Attention","Deep Vision"]}},{"page_content":"# Vision Transformer Features\n\n**Definition:** A modern visual feature structure that splits images into patch tokens and learns representations through global attention.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vision-transformer-features","slug":"vision-transformer-features","lang":"en","title":"Vision Transformer Features","category":"bilgisayarli-goru","updatedAt":"2026-06-27T23:39:27.887Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.140Z","tags":["Vision Transformer","Feature Learning","Attention","Deep Vision"]}},{"page_content":"# Görsel Belge Anlama\n\n**Definition:** Belgedeki metin, yerleşim ve görsel öğeleri birlikte yorumlayarak daha üst düzey anlamsal anlayış kuran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/visual-document-understanding","slug":"visual-document-understanding","lang":"tr","title":"Görsel Belge Anlama","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:49.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.787Z","tags":["VDU","Document AI","Multimodal Documents","Enterprise Automation"]}},{"page_content":"# Visual Document Understanding\n\n**Definition:** An approach that jointly interprets text, layout, and visual elements in a document to build higher-level semantic understanding.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/visual-document-understanding","slug":"visual-document-understanding","lang":"en","title":"Visual Document Understanding","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:49.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:46.787Z","tags":["VDU","Document AI","Multimodal Documents","Enterprise Automation"]}},{"page_content":"# Görsel Soru Cevaplama\n\n**Definition:** Bir görüntüye ilişkin doğal dil sorularını görsel bağlama dayanarak yanıtlayan çok modlu görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/visual-question-answering","slug":"visual-question-answering","lang":"tr","title":"Görsel Soru Cevaplama","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:23.361Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.583Z","tags":["VQA","Vision-Language","Multimodal QA","Visual Reasoning"]}},{"page_content":"# Visual Question Answering\n\n**Definition:** A multimodal task that answers natural language questions about an image based on visual context.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/visual-question-answering","slug":"visual-question-answering","lang":"en","title":"Visual Question Answering","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:45:23.361Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:35.583Z","tags":["VQA","Vision-Language","Multimodal QA","Visual Reasoning"]}},{"page_content":"# Vocoder\n\n**Definition:** Akustik temsil veya spektral özelliklerden işitilebilir ses dalgası üreten temel sentez bileşeni.","metadata":{"source":"https://sukruyusufkaya.com/glossary/vocoder","slug":"vocoder","lang":"tr","title":"Vocoder","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:54:13.696Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.546Z","tags":["Vocoder","TTS","Waveform Synthesis","Audio Generation"]}},{"page_content":"# Vocoder\n\n**Definition:** A core synthesis component that generates an audible waveform from acoustic representations or spectral features.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/vocoder","slug":"vocoder","lang":"en","title":"Vocoder","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T22:54:13.696Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.546Z","tags":["Vocoder","TTS","Waveform Synthesis","Audio Generation"]}},{"page_content":"# Ses Aktivite Tespiti\n\n**Definition:** Ses sinyalinde konuşmanın hangi bölümlerde mevcut olduğunu belirleyen temel zamanlama görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/voice-activity-detection","slug":"voice-activity-detection","lang":"tr","title":"Ses Aktivite Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:24.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.420Z","tags":["VAD","Speech Segmentation","Diarization","Audio Processing"]}},{"page_content":"# Voice Activity Detection\n\n**Definition:** A core timing task that determines which parts of an audio signal contain speech.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/voice-activity-detection","slug":"voice-activity-detection","lang":"en","title":"Voice Activity Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:40:24.092Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.420Z","tags":["VAD","Speech Segmentation","Diarization","Audio Processing"]}},{"page_content":"# Ses Sahteciliği Önleme\n\n**Definition:** Kayıt oynatma, sentezlenmiş ses veya dönüştürülmüş konuşma saldırılarını gerçek kullanıcı sesinden ayıran güvenlik görevi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/voice-anti-spoofing","slug":"voice-anti-spoofing","lang":"tr","title":"Ses Sahteciliği Önleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:46:49.381Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.243Z","tags":["Anti-Spoofing","Voice Security","Speaker Verification","Biometrics"]}},{"page_content":"# Voice Anti-Spoofing\n\n**Definition:** A security task that distinguishes genuine user speech from replay attacks, synthesized voices, or converted speech.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/voice-anti-spoofing","slug":"voice-anti-spoofing","lang":"en","title":"Voice Anti-Spoofing","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:46:49.381Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:56.243Z","tags":["Anti-Spoofing","Voice Security","Speaker Verification","Biometrics"]}},{"page_content":"# Ses Klonlama\n\n**Definition:** Kısa bir örnekten konuşmacı benzerliğini öğrenerek aynı kişiye benzer yeni konuşmalar sentezleme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/voice-cloning","slug":"voice-cloning","lang":"tr","title":"Ses Klonlama","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:28.962Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.721Z","tags":["Voice Cloning","TTS","Personalized Voice","Voice AI"]}},{"page_content":"# Voice Cloning\n\n**Definition:** An approach that learns speaker similarity from a short sample and synthesizes new speech resembling the same person.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/voice-cloning","slug":"voice-cloning","lang":"en","title":"Voice Cloning","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:28.962Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:55.721Z","tags":["Voice Cloning","TTS","Personalized Voice","Voice AI"]}},{"page_content":"# Voting Ensemble\n\n**Definition:** Birden fazla modelin tahminlerini çoğunluk veya ortalama mantığıyla birleştiren basit ama etkili ensemble yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/voting-ensemble","slug":"voting-ensemble","lang":"tr","title":"Voting Ensemble","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:54:24.906Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.854Z","tags":["Voting Ensemble","Ensemble","Classification","Regression"]}},{"page_content":"# Voting Ensemble\n\n**Definition:** A simple but effective ensemble method that combines predictions from multiple models through majority vote or averaging.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/voting-ensemble","slug":"voting-ensemble","lang":"en","title":"Voting Ensemble","category":"makine-ogrenmesi","updatedAt":"2026-06-27T22:54:24.906Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:59:05.854Z","tags":["Voting Ensemble","Ensemble","Classification","Regression"]}},{"page_content":"# Uyandırma Kelimesi Tespiti\n\n**Definition:** Cihazı veya sistemi etkinleştiren belirli kısa anahtar ifadenin sürekli ses akışında bulunmasını sağlayan görev.","metadata":{"source":"https://sukruyusufkaya.com/glossary/wake-word-detection","slug":"wake-word-detection","lang":"tr","title":"Uyandırma Kelimesi Tespiti","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:46.142Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.661Z","tags":["Wake Word","Keyword Spotting","Edge AI","Voice Assistants"]}},{"page_content":"# Wake Word Detection\n\n**Definition:** A task that detects a short trigger phrase in continuous audio to activate a device or system.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/wake-word-detection","slug":"wake-word-detection","lang":"en","title":"Wake Word Detection","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:41:46.142Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:57.661Z","tags":["Wake Word","Keyword Spotting","Edge AI","Voice Assistants"]}},{"page_content":"# Ambar Partition Anahtarı\n\n**Definition:** Veri ambarı tablolarında veriyi mantıksal parçalara ayırmak için kullanılan ana bölümleme alanı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/warehouse-partition-key","slug":"warehouse-partition-key","lang":"tr","title":"Ambar Partition Anahtarı","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:32.412Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.792Z","tags":["Partition Key","Warehouse","Performance","Data Modeling"]}},{"page_content":"# Warehouse Partition Key\n\n**Definition:** The primary partitioning field used to split warehouse tables into logical segments.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/warehouse-partition-key","slug":"warehouse-partition-key","lang":"en","title":"Warehouse Partition Key","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T23:42:32.412Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.792Z","tags":["Partition Key","Warehouse","Performance","Data Modeling"]}},{"page_content":"# Watermarking\n\n**Definition:** Geç gelen olayları yönetmek için akış sistemlerinde zaman ilerleyişine dair tolerans sınırı tanımlayan mekanizma.","metadata":{"source":"https://sukruyusufkaya.com/glossary/watermarking","slug":"watermarking","lang":"tr","title":"Watermarking","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:15.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.366Z","tags":["Watermarking","Late Data","Streaming","Windowing"]}},{"page_content":"# Watermarking\n\n**Definition:** A mechanism in stream systems that defines a tolerance boundary for time progression in order to manage late-arriving events.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/watermarking","slug":"watermarking","lang":"en","title":"Watermarking","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T22:59:15.380Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:55.366Z","tags":["Watermarking","Late Data","Streaming","Windowing"]}},{"page_content":"# Wav2Vec 2.0 Ön Eğitimi\n\n**Definition:** Etiketsiz ses verisinden güçlü konuşma temsilleri öğrenerek ASR ve konuşma görevlerini iyileştiren kendinden denetimli yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/wav2vec2-pretraining","slug":"wav2vec2-pretraining","lang":"tr","title":"Wav2Vec 2.0 Ön Eğitimi","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:48.696Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.811Z","tags":["Wav2Vec 2.0","Self-Supervised Speech","ASR","Representation Learning"]}},{"page_content":"# Wav2Vec 2.0 Pretraining\n\n**Definition:** A self-supervised approach that learns strong speech representations from unlabeled audio and improves ASR and speech tasks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/wav2vec2-pretraining","slug":"wav2vec2-pretraining","lang":"en","title":"Wav2Vec 2.0 Pretraining","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:48.696Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:18.811Z","tags":["Wav2Vec 2.0","Self-Supervised Speech","ASR","Representation Learning"]}},{"page_content":"# Weak Supervision\n\n**Definition:** Tam manuel etiketleme yerine kurallar, heuristikler veya zayıf kaynaklar üzerinden yaklaşık etiket üretme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/weak-supervision","slug":"weak-supervision","lang":"tr","title":"Weak Supervision","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:38:45.136Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.227Z","tags":["Weak Supervision","Labeling","Heuristics","Scalable Annotation"]}},{"page_content":"# Weak Supervision\n\n**Definition:** An approach that generates approximate labels through rules, heuristics, or weak sources instead of full manual labeling.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/weak-supervision","slug":"weak-supervision","lang":"en","title":"Weak Supervision","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:38:45.136Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:40.227Z","tags":["Weak Supervision","Labeling","Heuristics","Scalable Annotation"]}},{"page_content":"# Zayıf Denetimli Segmentasyon\n\n**Definition:** Piksel maskeleri yerine daha ucuz etiketlerle segmentasyon öğrenmeyi amaçlayan yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/weakly-supervised-segmentation","slug":"weakly-supervised-segmentation","lang":"tr","title":"Zayıf Denetimli Segmentasyon","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:26.575Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.495Z","tags":["Weak Supervision","Segmentation","Low Annotation Cost","Vision"]}},{"page_content":"# Weakly Supervised Segmentation\n\n**Definition:** An approach that aims to learn segmentation from cheaper labels instead of full pixel masks.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/weakly-supervised-segmentation","slug":"weakly-supervised-segmentation","lang":"en","title":"Weakly Supervised Segmentation","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:26.575Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:45.495Z","tags":["Weak Supervision","Segmentation","Low Annotation Cost","Vision"]}},{"page_content":"# Web Scraping\n\n**Definition:** Web sayfalarındaki yapılandırılmış veya yarı yapılandırılmış verilerin programatik olarak toplanması yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/web-scraping","slug":"web-scraping","lang":"tr","title":"Web Scraping","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:38:46.670Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.276Z","tags":["Web Scraping","Data Acquisition","Automation","Public Web Data"]}},{"page_content":"# Web Scraping\n\n**Definition:** A method for programmatically collecting structured or semi-structured data from web pages.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/web-scraping","slug":"web-scraping","lang":"en","title":"Web Scraping","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:38:46.670Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.276Z","tags":["Web Scraping","Data Acquisition","Automation","Public Web Data"]}},{"page_content":"# Weight Decay\n\n**Definition:** Ağırlık büyüklüklerini cezalandırarak model karmaşıklığını kontrol altında tutan düzenlileştirme yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/weight-decay","slug":"weight-decay","lang":"tr","title":"Weight Decay","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:26.824Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.657Z","tags":["Weight Decay","L2 Regularization","Generalization","Optimization"]}},{"page_content":"# Weight Decay\n\n**Definition:** A regularization approach that penalizes weight magnitude in order to control model complexity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/weight-decay","slug":"weight-decay","lang":"en","title":"Weight Decay","category":"derin-ogrenme","updatedAt":"2026-06-27T23:39:26.824Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:17.657Z","tags":["Weight Decay","L2 Regularization","Generalization","Optimization"]}},{"page_content":"# Seste Pencereleme\n\n**Definition:** Sinyali küçük zaman parçalarına ayırarak yerel frekans analizi yapmayı mümkün kılan temel işleme adımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/windowing-in-audio","slug":"windowing-in-audio","lang":"tr","title":"Seste Pencereleme","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:04.889Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.862Z","tags":["Windowing","STFT","Signal Processing","Audio Features"]}},{"page_content":"# Windowing in Audio\n\n**Definition:** A fundamental processing step that enables local frequency analysis by splitting the signal into small time segments.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/windowing-in-audio","slug":"windowing-in-audio","lang":"en","title":"Windowing in Audio","category":"ses-konusma-audio-ai","updatedAt":"2026-06-28T00:46:04.889Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:58.862Z","tags":["Windowing","STFT","Signal Processing","Audio Features"]}},{"page_content":"# Winsorization\n\n**Definition:** Aşırı uç değerlerin tamamen silinmesi yerine belirli eşiklerde sınırlandırılması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/winsorization","slug":"winsorization","lang":"tr","title":"Winsorization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:26.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.579Z","tags":["Winsorization","Outlier Handling","Preprocessing","Robust Statistics"]}},{"page_content":"# Winsorization\n\n**Definition:** An approach that caps extreme values at defined thresholds instead of removing them entirely.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/winsorization","slug":"winsorization","lang":"en","title":"Winsorization","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:39:26.628Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.579Z","tags":["Winsorization","Outlier Handling","Preprocessing","Robust Statistics"]}},{"page_content":"# Word2Vec\n\n**Definition:** Kelime anlamını bağlamsal eşgörünüm üzerinden yoğun vektörlerle temsil eden tarihsel embedding yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/word2vec","slug":"word2vec","lang":"tr","title":"Word2Vec","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:53:33.761Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.231Z","tags":["Word2Vec","Embeddings","Distributional Semantics","NLP"]}},{"page_content":"# Word2Vec\n\n**Definition:** A historical embedding approach that represents word meaning through dense vectors learned from contextual co-occurrence.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/word2vec","slug":"word2vec","lang":"en","title":"Word2Vec","category":"dogal-dil-isleme","updatedAt":"2026-06-27T22:53:33.761Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.231Z","tags":["Word2Vec","Embeddings","Distributional Semantics","NLP"]}},{"page_content":"# WordPiece\n\n**Definition:** Alt kelime birimlerini olasılıksal kapsama açısından optimize eden yaygın tokenization yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/wordpiece","slug":"wordpiece","lang":"tr","title":"WordPiece","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:41:04.142Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.135Z","tags":["WordPiece","BERT","Tokenization","Subword Vocabulary"]}},{"page_content":"# WordPiece\n\n**Definition:** A widely used tokenization method that optimizes subword units with respect to probabilistic coverage.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/wordpiece","slug":"wordpiece","lang":"en","title":"WordPiece","category":"dogal-dil-isleme","updatedAt":"2026-06-27T23:41:04.142Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:56.135Z","tags":["WordPiece","BERT","Tokenization","Subword Vocabulary"]}},{"page_content":"# İş Akışı Orkestrasyonu\n\n**Definition:** Birden fazla veri işleme adımının bağımlılık, sıra ve zamanlama kurallarıyla merkezi biçimde yönetilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/workflow-orchestration","slug":"workflow-orchestration","lang":"tr","title":"İş Akışı Orkestrasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:54.129Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.470Z","tags":["Orchestration","Workflow","Scheduling","Dependencies"]}},{"page_content":"# Workflow Orchestration\n\n**Definition:** An approach for centrally managing multiple data processing steps through dependency, sequencing, and scheduling rules.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/workflow-orchestration","slug":"workflow-orchestration","lang":"en","title":"Workflow Orchestration","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-28T00:46:54.129Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:53.470Z","tags":["Orchestration","Workflow","Scheduling","Dependencies"]}},{"page_content":"# İş Yükü İzolasyonu\n\n**Definition:** Farklı sorgu ve hesaplama türlerinin birbirini boğmasını önlemek için kaynakların ayrıştırıldığı veri ambarı yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/workload-isolation","slug":"workload-isolation","lang":"tr","title":"İş Yükü İzolasyonu","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:17.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.619Z","tags":["Workload Isolation","Warehouse","Performance","Cloud"]}},{"page_content":"# Workload Isolation\n\n**Definition:** A warehouse approach in which resources are separated to prevent different query and compute workloads from interfering with one another.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/workload-isolation","slug":"workload-isolation","lang":"en","title":"Workload Isolation","category":"veri-muhendisligi-ve-ai-altyapisi","updatedAt":"2026-06-27T21:21:17.721Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:35.619Z","tags":["Workload Isolation","Warehouse","Performance","Cloud"]}},{"page_content":"# x-vector\n\n**Definition:** Konuşmacı kimliğini temsil eden sabit boyutlu embedding'ler üretmek için geliştirilen modern speaker recognition yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/x-vector","slug":"x-vector","lang":"tr","title":"x-vector","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:21:18.208Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.481Z","tags":["x-vector","Speaker Embeddings","Speaker Recognition","Audio AI"]}},{"page_content":"# x-vector\n\n**Definition:** A modern speaker recognition approach designed to produce fixed-dimensional embeddings representing speaker identity.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/x-vector","slug":"x-vector","lang":"en","title":"x-vector","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T21:21:18.208Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.481Z","tags":["x-vector","Speaker Embeddings","Speaker Recognition","Audio AI"]}},{"page_content":"# XGBoost\n\n**Definition:** Performans, hız ve düzenlileştirme avantajlarıyla öne çıkan gelişmiş gradient boosting kütüphanesi ve yöntemi.","metadata":{"source":"https://sukruyusufkaya.com/glossary/xgboost","slug":"xgboost","lang":"tr","title":"XGBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:24.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.146Z","tags":["XGBoost","Boosting","Tabular ML","Regularization"]}},{"page_content":"# XGBoost\n\n**Definition:** An advanced gradient boosting method and library known for its speed, performance, and regularization features.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/xgboost","slug":"xgboost","lang":"en","title":"XGBoost","category":"makine-ogrenmesi","updatedAt":"2026-06-28T00:30:24.531Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:58:48.146Z","tags":["XGBoost","Boosting","Tabular ML","Regularization"]}},{"page_content":"# Yapay Zekâ (AI)\n\n**Definition:** Algılama, öğrenme, akıl yürütme ve karar verme gibi insan zekâsıyla ilişkilendirilen yeteneklerin makinelere kazandırılmasını amaçlayan disiplin.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yapay-zeka","slug":"yapay-zeka","lang":"tr","title":"Yapay Zekâ (AI)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:31.496Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.431Z","tags":["AI","Temel","Zekâ","Problem Çözme"]}},{"page_content":"# Artificial Intelligence (AI)\n\n**Definition:** A discipline focused on enabling machines to perform capabilities associated with human intelligence, such as perception, learning, reasoning, and decision-making.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yapay-zeka","slug":"yapay-zeka","lang":"en","title":"Artificial Intelligence (AI)","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:31.496Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:01.431Z","tags":["AI","Temel","Zekâ","Problem Çözme"]}},{"page_content":"# Yapay Zekâ Kışı\n\n**Definition:** Yapay zekâya yönelik beklentiler ile teknik gerçeklik arasındaki kopuş nedeniyle ilgi ve yatırımın sert biçimde düştüğü dönemler.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yapay-zeka-kisi","slug":"yapay-zeka-kisi","lang":"tr","title":"Yapay Zekâ Kışı","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:19.121Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.546Z","tags":["AI Winter","Tarih","Strateji","Beklenti Yönetimi"]}},{"page_content":"# AI Winter\n\n**Definition:** Periods when interest and investment in AI dropped sharply due to the gap between expectations and technical reality.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yapay-zeka-kisi","slug":"yapay-zeka-kisi","lang":"en","title":"AI Winter","category":"yapay-zeka-temelleri","updatedAt":"2026-06-27T23:47:19.121Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:03.546Z","tags":["AI Winter","Tarih","Strateji","Beklenti Yönetimi"]}},{"page_content":"# Yarı Denetimli Öğrenme\n\n**Definition:** Az miktarda etiketli veri ile çok miktarda etiketsiz veriyi birlikte kullanarak öğrenme performansını artıran yaklaşım.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yari-denetimli-ogrenme","slug":"yari-denetimli-ogrenme","lang":"tr","title":"Yarı Denetimli Öğrenme","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:38.298Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.684Z","tags":["Semi-Supervised","Etiketleme","Veri Verimliliği","Öğrenme"]}},{"page_content":"# Semi-Supervised Learning\n\n**Definition:** An approach that improves learning performance by combining a small amount of labeled data with a large amount of unlabeled data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yari-denetimli-ogrenme","slug":"yari-denetimli-ogrenme","lang":"en","title":"Semi-Supervised Learning","category":"yapay-zeka-temelleri","updatedAt":"2026-06-28T00:45:38.298Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:55:24.684Z","tags":["Semi-Supervised","Etiketleme","Veri Verimliliği","Öğrenme"]}},{"page_content":"# Yeniden Tanımlama Riski\n\n**Definition:** Anonim veya sınırlı veri setlerinden bireylerin tekrar tanımlanabilme ihtimalini ifade eden gizlilik riski.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yeniden-tanimlama-riski","slug":"yeniden-tanimlama-riski","lang":"tr","title":"Yeniden Tanımlama Riski","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:24.622Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.991Z","tags":["Re-identification Risk","Privacy","Anonymization","Data Sharing"]}},{"page_content":"# Re-identification Risk\n\n**Definition:** A privacy risk describing the possibility of identifying individuals again from anonymized or restricted datasets.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yeniden-tanimlama-riski","slug":"yeniden-tanimlama-riski","lang":"en","title":"Re-identification Risk","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-28T00:45:24.622Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:41.991Z","tags":["Re-identification Risk","Privacy","Anonymization","Data Sharing"]}},{"page_content":"# Yeterlilik\n\n**Definition:** Bir istatistiğin, parametre hakkında verideki tüm ilgili bilgiyi taşıması özelliği.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yeterlilik","slug":"yeterlilik","lang":"tr","title":"Yeterlilik","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:58:53.365Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.765Z","tags":["Sufficiency","Statistics","Summary","Estimator"]}},{"page_content":"# Sufficiency\n\n**Definition:** The property of a statistic containing all relevant information in the data about a parameter.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yeterlilik","slug":"yeterlilik","lang":"en","title":"Sufficiency","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T22:58:53.365Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:17.765Z","tags":["Sufficiency","Statistics","Summary","Estimator"]}},{"page_content":"# Yinelenen Kayıt\n\n**Definition:** Aynı gerçek dünya varlığını veya olayı birden fazla kez temsil eden tekrar eden veri kaydı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yinelenen-kayit","slug":"yinelenen-kayit","lang":"tr","title":"Yinelenen Kayıt","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:58.791Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.555Z","tags":["Duplicate","Deduplication","Data Cleaning","Records"]}},{"page_content":"# Duplicate Record\n\n**Definition:** A repeated data record that represents the same real-world entity or event more than once.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yinelenen-kayit","slug":"yinelenen-kayit","lang":"en","title":"Duplicate Record","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:45:58.791Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:25.555Z","tags":["Duplicate","Deduplication","Data Cleaning","Records"]}},{"page_content":"# Yönlü Türev\n\n**Definition:** Bir fonksiyonun belirli bir yönde ne kadar hızlı değiştiğini ölçen türev kavramı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/yonlu-turev","slug":"yonlu-turev","lang":"tr","title":"Yönlü Türev","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:46.776Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.051Z","tags":["Directional Derivative","Gradient","Geometry","Optimization"]}},{"page_content":"# Directional Derivative\n\n**Definition:** A derivative concept that measures how fast a function changes in a specific direction.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/yonlu-turev","slug":"yonlu-turev","lang":"en","title":"Directional Derivative","category":"matematik-istatistik-optimizasyon","updatedAt":"2026-06-27T23:41:46.776Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:56:19.051Z","tags":["Directional Derivative","Gradient","Geometry","Optimization"]}},{"page_content":"# Zaman Bazlı Bölme\n\n**Definition:** Zaman bağımlı verilerde eğitim ve değerlendirme kümelerinin kronolojik sıraya göre ayrılması yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/zaman-bazli-bolme","slug":"zaman-bazli-bolme","lang":"tr","title":"Zaman Bazlı Bölme","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:56.299Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.406Z","tags":["Time Split","Temporal Data","Leakage Prevention","Evaluation"]}},{"page_content":"# Time-Based Split\n\n**Definition:** An approach in which training and evaluation sets are split chronologically for time-dependent data.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/zaman-bazli-bolme","slug":"zaman-bazli-bolme","lang":"en","title":"Time-Based Split","category":"veri-bilimi-ve-veri-yonetimi","updatedAt":"2026-06-27T23:47:56.299Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T17:57:39.406Z","tags":["Time Split","Temporal Data","Leakage Prevention","Evaluation"]}},{"page_content":"# Zero-Shot Görüntü Sınıflandırma\n\n**Definition:** Modelin yeni sınıfları ek eğitim olmadan metinsel açıklamalar veya ortak temsil uzayı üzerinden tanıyabilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/zero-shot-image-classification","slug":"zero-shot-image-classification","lang":"tr","title":"Zero-Shot Görüntü Sınıflandırma","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:54.571Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.061Z","tags":["Zero-Shot Classification","Vision-Language Models","CLIP","Open Vocabulary"]}},{"page_content":"# Zero-Shot Image Classification\n\n**Definition:** An approach in which a model recognizes new classes without additional training through textual descriptions or shared representation space.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/zero-shot-image-classification","slug":"zero-shot-image-classification","lang":"en","title":"Zero-Shot Image Classification","category":"bilgisayarli-goru","updatedAt":"2026-06-28T00:44:54.571Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:02:31.061Z","tags":["Zero-Shot Classification","Vision-Language Models","CLIP","Open Vocabulary"]}},{"page_content":"# Zero-Shot Metin Sınıflandırma\n\n**Definition:** Modelin yeni etiketler için ek eğitim olmadan doğal dil açıklamalarından sınıflandırma yapabilmesi yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/zero-shot-text-classification","slug":"zero-shot-text-classification","lang":"tr","title":"Zero-Shot Metin Sınıflandırma","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:54.167Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.290Z","tags":["Zero-Shot Classification","NLI","Prompting","Text Classification"]}},{"page_content":"# Zero-Shot Text Classification\n\n**Definition:** An approach in which a model classifies texts for new labels without additional training by using natural language label descriptions.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/zero-shot-text-classification","slug":"zero-shot-text-classification","lang":"en","title":"Zero-Shot Text Classification","category":"dogal-dil-isleme","updatedAt":"2026-06-27T21:18:54.167Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:00:57.290Z","tags":["Zero-Shot Classification","NLI","Prompting","Text Classification"]}},{"page_content":"# Zero-Shot TTS\n\n**Definition:** Yeni bir konuşmacı sesi için ek eğitim yapmadan kısa referans örneklerden sentez üretebilen gelişmiş TTS yaklaşımı.","metadata":{"source":"https://sukruyusufkaya.com/glossary/zero-shot-tts","slug":"zero-shot-tts","lang":"tr","title":"Zero-Shot TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:50.157Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.388Z","tags":["Zero-Shot TTS","Voice Cloning","Speech Synthesis","Personalized Audio"]}},{"page_content":"# Zero-Shot TTS\n\n**Definition:** An advanced TTS approach that can synthesize a new speaker’s voice from short reference samples without additional speaker-specific training.","metadata":{"source":"https://sukruyusufkaya.com/en/glossary/zero-shot-tts","slug":"zero-shot-tts","lang":"en","title":"Zero-Shot TTS","category":"ses-konusma-audio-ai","updatedAt":"2026-06-27T23:39:50.157Z","type":"DefinedTerm","license":"CC-BY-4.0","publisher":"sukruyusufkaya.com","publishedAt":"2026-04-01T18:03:19.388Z","tags":["Zero-Shot TTS","Voice Cloning","Speech Synthesis","Personalized Audio"]}}]}