This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. Presents novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

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