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Introduction to Machine Learning 2nd Edition by Ethem Alpaydın.P...

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Introduction

Machine

Learning

Second

Edition

Adaptive Computation and Machine Learning

Thomas Dietterich, Editor

Christopher Bishop, David Heckerman, Michael Jordan, and Michael

Kearns, Associate Editors

A complete list of books published in The Adaptive Computation and

Machine Learning series appears at the back of this book.

Introduction

Machine

Learning

Second

Edition

Ethem Alpaydın

The MIT Press

Cambridge, Massachusetts

London, England

electronic or mechanical means (including photocopying, recording, or informa-

tion storage and retrieval) without permission in writing from the publisher.

For information about special quantity discounts, please email

special_sales@mitpress.mit.edu.

Typeset in 10/13 Lucida Bright by the author using L

Printed and bound in the United States of America.

Library of Congress Cataloging-in-Publication Information

Alpaydin, Ethem.

Introduction to machine learning / Ethem Alpaydin. — 2nd ed.

p. cm.

Includes bibliographical references and index.

ISBN 978-0-262-01243-0 (hardcover : alk. paper)

1. Machine learning. I. Title

Q325.5.A46 2010

006.3’1—dc22 2009013169

CIP

10987654321

Brief Contents

1Introduction 1

2 Supervised Learning 21

3 Bayesian Decision Theory 47

4 Parametric Methods 61

5 Multivariate Methods 87

6 Dimensionality Reduction 109

7 Clustering 143

8 Nonparametric Methods 163

9 Decision Trees 185

10 Linear Discrimination 209

11 Multilayer Perceptrons 233

12 Local Models 279

13 Kernel Machines 309

14 Bayesian Estimation 341

15 Hidden Markov Models 363

16 Graphical Models 387

17 Combining Multiple Learners 419

18 Reinforcement Learning 447

19 Design and Analysis of Machine Learning Experiments 475

A Probability 517

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Introduction to Machine Learning Ethem Alpaydın

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