Foundations of Machine Learning
$175.31
- Hardcover
504 pages
- Release Date
25 December 2018
Summary
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 alg…
Book Details
| ISBN-13: | 9780262039406 |
|---|---|
| ISBN-10: | 0262039400 |
| Author: | Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 504 |
| Release Date: | 25 December 2018 |
| Weight: | 1.28kg |
| Dimensions: | 229mm x 178mm x 32mm |
| Series: | Adaptive Computation and Machine Learning series |
About The Author
Mehryar Mohri
Mehryar Mohri is Professor of Computer Science at New York University’s Courant Institute of Mathematical Sciences and a Research Consultant at Google Research.Afshin Rostamizadeh is a Research Scientist at Google Research.Ameet Talwalkar is Assistant Professor in the Machine Learning Department at Carnegie Mellon University.
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