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Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. last of 3, Figures) by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar is a science book available to read on EtoBox.

What is Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. last of 3, Figures) about?

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. 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. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata

Who reads Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. last of 3, Figures)?

Author

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

Publisher

<<The>> MIT [Massachusetts Institute of Technology] Press

Published

2018

Language

EN

ISBN

9780262039406

Category

science

Subjects

Computer Science, Science, Programming

Rating

4.4 / 5 (36 ratings)

Updated

2026-03-14