# Machine Learning

> Source: https://sukruyusufkaya.com/en/glossary/makine-ogrenmesi
> Updated: 2026-05-13T21:12:06.286Z
> Type: glossary
> Category: yapay-zeka-temelleri
**TLDR:** A subfield of AI that enables systems to learn patterns from data without being explicitly programmed rule by rule.

<p>Machine learning is one of the most value-producing subfields of AI today. The core idea is powerful: instead of programming a system rule by rule for every scenario, we expose it to examples and let it learn patterns from data. This enables the model to make predictions, classifications, or decisions on unseen examples. Regression, classification, recommendation systems, anomaly detection, and scoring-based enterprise use cases all fit into this framework. What makes machine learning effective is not just the algorithms themselves; data quality, proper problem framing, representation choices, and evaluation strategy are equally important.</p>