3 posts
What is data science? Data science is the discipline that turns raw data into knowledge and predictions to guide business decisions, using statistics, programming, and machine learning. This guide: a clear definition, why it matters, how the data analysis process works, what a data scientist does, the role of machine learning and Python, data science vs data analytics, Türkiye examples, KVKK, and FAQs.
Comprehensive Turkish guide for learning data science with Kaggle from zero to Master: platform structure (Notebooks, Competitions, Datasets, Models, Discussions), 5 progression tiers (Novice → Contributor → Expert → Master → Grandmaster), per-tier requirements + process, 20+ free Kaggle Learn courses, 6-month plan from first competition to first medal, ensemble + stacking + blending techniques, GPU/TPU notebook strategies, tabular vs CV vs NLP competition differences, Turkish Kaggle masters success stories, team formation tactics, code competitions, Notebooks tier separate path, dataset/discussion medal strategy, optimizing Kaggle profile for job hunting, 10 practical tips.
Enterprise AI architecture is not just about selecting a large language model. A reliable AI system requires data pipelines, model infrastructure, API integrations, security controls, observability, workflow orchestration, human approval mechanisms and governance layers. This guide explains how to design production-ready enterprise AI systems from a strategic and technical perspective.