Foundations of Machine Learning
By:Mehryar Mohri,Afshin Rostamizadeh,Ameet Talwalkar
Published on 2012-08-17 by MIT Press
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. 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. 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.
This Book was ranked at 4 by Google Books for keyword foundation course.
Book ID of Foundations of Machine Learning's Books is -ijiAgAAQBAJ, Book which was written byMehryar Mohri,Afshin Rostamizadeh,Ameet Talwalkarhave ETAG "S/m/nVz8L2I"
Book which was published by MIT Press since 2012-08-17 have ISBNs, ISBN 13 Code is 9780262304733 and ISBN 10 Code is 0262304732
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