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Mathematics for Machine Learning
د.إ 25
Mathematics for Machine Learning by Marc Deisenroth, A. Aldo Faisal, and Cheng Soon Ong is a comprehensive guide that provides the mathematical foundations necessary for understanding and applying machine learning. The book covers key topics such as linear algebra, probability theory, multivariable calculus, and optimization, all explained in the context of machine learning applications. Designed for beginners and practitioners, it bridges the gap between mathematical concepts and their practical implementation in machine learning algorithms. With clear explanations and examples, this book is an essential resource for anyone looking to develop a strong mathematical foundation for AI and data science.
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