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Understanding Machine Learning:

From Theory to Algorithms

 2014 by Shai Shalev-Shwartz and Shai Ben-David

Published 2014 by Cambridge University Press.

This copy is for personal use only. Not for distribution.

Do not post. Please link to:

http://www.cs.huji.ac.il/

shais/UnderstandingMachineLearning

Please note: This copy is almost, but not entirely, identical to the printed version

of the book. In particular, page numbers are not identical (but section numbers are the

same).

Understanding Machine Learning

Machine learning is one of the fastest growing areas of computer science,

with far-reaching applications. The aim of this textbook is to introduce

machine learning, and the algorithmic paradigms it offers, in a princi-

pled way. The book provides an extensive theoretical account of the

fundamental ideas underlying machine learning and the mathematical

derivations that transform these principles into practical algorithms. Fol-

lowing a presentation of the basics of the ﬁeld, the book covers a wide

array of central topics that have not been addressed by previous text-

books. These include a discussion of the computational complexity of

learning and the concepts of convexity and stability; important algorith-

mic paradigms including stochastic gradient descent, neural networks,

and structured output learning; and emerging theoretical concepts such as

the PAC-Bayes approach and compression-based bounds .Designedfor

an advanced undergraduate or beginning graduate course, the text makes

the fundamentals and algorithms of machine learning accessible to stu-

dents and nonexpert readers in statistics, computer science, mathematics,

and engineering.

Shai Shalev-Shwartz is an Associate Professor at the School of Computer

Science and Engineering at The Hebrew University, Israel.

Shai Ben-David is a Professor in the School of Computer Science at the

University of Waterloo, Canada.

UNDERSTANDING

MACHINE LEARNING

From Theory to

Algorithms

Shai Shalev-Shwartz

The Hebrew University, Jerusalem

Shai Ben-David

University of Waterloo, Canada

32 Avenue of the Americas, New York, NY 10013-2473, USA

Cambridge University Press is part of the University of Cambridge.

It furthers the University’s mission by disseminating knowledge in the pursuit of

education, learning and research at the highest international levels of excellence.

www.cambridge.org

Information on this title: www.cambridge.org/9781107057135

 Shai Shalev-Shwartz and Shai Ben-David 2014

This publication is in copyright. Subject to statutory exception

and to the provisions of relevant collective licensing agreements,

no reproduction of any part may take place without the written

permission of Cambridge University Press.

First published 2014

Printed in the United States of America

AcatalogrecordforthispublicationisavailablefromtheBritishLibrary

Library of Congress Cataloging in Publication Data

ISBN 978-1-107-05713-5 Hardback

Cambridge University Press has no responsibility for the persistence or accuracy of

URLs for external or third-party Internet Web sites referred to in this publication,

and does not guarantee that any content on such Web sites is, or will remain,

accurate or appropriate.

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