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Foundations of Machine Learning
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  • Title: Foundations of Machine Learning
  • Author(s) Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
  • Publisher: The MIT Press; 2nd edition (December 25, 2018); eBook (MIT Open Acess Edition)
  • Hardcover: 504 pages
  • eBook: HTML and PDF (505 pages)
  • Language: English
  • ISBN-10: 0262039400
  • ISBN-13: 978-0262039406
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Book Description

This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

It is unique in its focus on the analysis and theory of algorithms.

About the Authors
  • Andriy Burkov has been leading a team of machine learning developers at Gartner.
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