berkedilekoglu/machine-learning

Türkçe Makine Öğrenmesi Notları

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These notes explain fundamental machine learning concepts in Turkish, while retaining English terminology. They cover topics from basic model types and training challenges to advanced techniques like Ensemble Learning and various Gradient Descent methods. This resource is ideal for Turkish-speaking individuals who want to understand the core principles behind building intelligent systems.

No commits in the last 6 months.

Use this if you are a Turkish-speaking student, aspiring data scientist, or practitioner seeking to grasp machine learning fundamentals and theory in your native language.

Not ideal if you are looking for practical code implementations, a deep dive into specific libraries like TensorFlow, or advanced research topics.

machine learning education data science fundamentals algorithm theory Turkish language learning AI concepts

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