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Description
Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal & Cheng Soon OngBuild a strong maths foundation for modern machine learning Good Condition noticeable cover wear with creasing and edge wear visible The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or

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