توضیحات
This book provides a comprehensive introduction to the mathematical foundations needed for machine learning. Covering linear algebra, calculus, probability, statistics, and optimization, it equips readers with the tools to understand, analyze, and implement machine learning models effectively. Ideal for students, researchers, and practitioners aiming to deepen their theoretical understanding.
نقد و بررسیها
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