Sabancı Üniversitesi
Mühendislik ve Doğa Bilimleri Fakültesi
Elektronik Mühendisliği
Have a solid understanding of the basic concepts, issues, assumptions and limitations in machine learning and how they apply to various machine learning techniques.
Have a working knowledge of the basic mathematics (probability, expectation, entropy, basic linear algebra, ...) and algorithms behind common machine learning techniques; together with their suitability in given situations.
Given a machine learning problem, select, implement and evaluate one of the appropriate machine learning algorithms (e.g. decision trees, neural networks, SVMs) using a programming environment such as Weka or Matlab.
CS 412 Makine Öğrenmesi dersinden özel ders almak için bizimle iletişime geçebilirsiniz.
Henüz değerlendiren olmadı.İlk değendiren siz olun.
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