Mathematics for Machine Learning

Mathematics for Machine Learning

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti

High-Dimensional Probability

High-Dimensional Probability

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.