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MATHEMATIK FÜR MASCHINELLES LERNEN von DEISENROT MARC PETE (gebunden)

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119,07 €

This book provides a comprehensive introduction to the mathematical concepts that are essential for understanding and implementing machine learning algorithms. It covers a range of topics including linear algebra, calculus, probability, and optimization, presenting each in a way that emphasizes their relevance to machine learning applications. With a focus on practical examples and theoretical foundations, the text aims to equip readers with the necessary tools to engage in machine learning research and practice. Each chapter includes exercises to reinforce learning and help develop problem-solving skills in a machine learning context. .

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