This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradien

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From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, a

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Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Ma