Foundations of Machine Learning
Language: English
Published by The MIT Press, 2012
- Hardcover
- Used
Seller: Mesquite Booksellers, Tucson, AZ, U.S.A.Mesquite Booksellers
AbeBooks seller since December 4, 2025
Condition: Used - Near fine
US$ 80.00
Quantity: 1 available
Add to basketItem description from seller
xii,412. No jacket, as issued. Bottom corners are bumped, tail of the spine pressed. Spine slightly cocked. Otherwise pristine. If you order this from outside the United States, we will almost certainly request an additional payment to help cover the postage. Please feel welcome to message us with any questions, or a request for photographs. Every order includes tracking and is wrapped and robustly packaged with care in Tucson, AZ. ~Mesquite Booksellers.
Seller Inventory # 75849
- Title
- Foundations of Machine Learning
- Author
- Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
- Publisher
- The MIT Press
- Publication year
- 2012
- Condition
- Near fine
- Dust jacket
- No Jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 026201825X
- ISBN 13
- 9780262018258
- Seller catalogs
- Philosophy, Science
Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms.
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.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Mesquite Booksellers
Tucson, AZ, U.S.A.
AbeBooks seller since December 4, 2025
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Mesquite Booksellers specializes in history, philosophy and the social sciences. Most titles are academic press. We offer some heavily discounted Bradt Guides, as a service to the world-curious. We buy collections of academic books; please message us through AbeBooks should you wish to sell yours. More photographs of any book will happily be sent to you upon request. Please message us with any questions!
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History, philosophy and the social sciences. Most titles are academic press.Seller's business information
Mesquite Booksellers
AZ, U.S.A.
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