Foundations of Machine Learning

Edition:
Release: 2012-08-17
Publisher: The MIT Press
Binding: Hardcover
ISBN/ASIN: 026201825X



Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

This graduate-level textbook introduces fundamental concepts and methods in machine learning. Free download Foundations of Machine Learning books collection in PDF, EPUB, FB2, MOBI, and TXT formats. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. Best deals ebooks download Foundations of Machine Learning on amazon.The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book.The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar. Download Foundations of Machine Learning (Adaptive Computation and Machine Learning series) with free ebook downloads available via rapidshare, mediafire, 4shared.

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