Trustpilot
MENU
Compare Selected 0
Free UK Delivery
rrp: £65.00
£56.62
(You save £8.38 )
Availability:
Delivery Usually In 6-15 Working Days
Add to Wish List

Foundations of Machine Learning [9780262039406]

(No reviews yet) Write a Review

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 and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.

This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.


AUTHOR: 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.
more
less
SKU:
9780262039406
ISBN13:
9780262039406
Availability:
Delivery Usually In 6-15 Working Days
Author:
Mehryar Mohri
Publisher:
MIT Press
Publication:
25-Dec-2018
Format:
Hardback
Pages:
504
Weight:
800 Grams
Foundations Of Drawing cover photo

Foundations Of Drawing [9780307987181]

Foundations of Drawing is a comprehensive and authoritative overview of the history, aesthetics, methods and materials of the drawing medium. Clearly …

rrp: £21.99
£18.97
Add to Cart
Delivery Usually In 5-10 Working Days