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MATLAB
Machine Learning
—
Michael Paluszek
Stephanie Thomas
MATLAB Machine
Learning
Michael Paluszek
Stephanie Thomas
MATLAB Machine Learning
Michael Paluszek and Stephanie Thomas
New Jersey
USA
ISBN-13 (pbk): 978-1-4842-2249-2 ISBN-13 (electronic): 978-1-4842-2250-8
DOI 10.1007/978-1-4842-2250-8
Library of Congress Control Number: 2016963347
Copyright © 2017 by Michael Paluszek, Stephanie Thomas
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on
microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation,
computer software, or by similar or dissimilar methodology now known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every
occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to
the benefit of the trademark owner, with no intention of infringement of the trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as
such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication, neither the
authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made.
The publisher makes no warranty, express or implied, with respect to the material contained herein.
Managing Director: Welmoed Spahr
Lead Editor: Steve Anglin
Technical Reviewers: Jonah Lissner, Joseph Mueller, and Derek Surka
Editorial Board: Steve Anglin, Pramila Balan, Laura Berendson, Aaron Black, Louise Corrigan, Jonathan
Gennick, Robert Hutchinson, Celestin Suresh John, Nikhil Karkal, James Markham, Susan McDermott,
Matthew Moodie, Natalie Pao, Gwenan Spearing
Coordinating Editor: Mark Powers
Copy Editor: Kristen Cassereau Ng
Compositor: SPi Global
Indexer: SPi Global
Artist: SPi Global
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New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com,or
visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer
Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
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Any source code or other supplementary materials referenced by the author in this text are available to readers at
www.apress.com. For detailed information about how to locate your book’s source code, go to
www.apress.com/source-code/. Readers can also access source code at SpringerLink in the Supplementary
Material section for each chapter.
Printed on acid-free paper
For Marilyn and Matt.
Contents at a Glance
About the Authors ......................................... XV
About the Technical Reviewer ..................................XVII
Introduction ............................................ XIX
Part I Introduction to Machine Learning 1
Chapter 1: An Overview of Machine Learning ......................... 3
Chapter 2: The History of Autonomous Learning ........................ 17
Chapter 3: Software for Machine Learning ........................... 25
Part II MATLAB Recipes for Machine Learning 33
Chapter 4: Representation of Data for Machine Learning in MATLAB ........... 35
Chapter 5: MATLAB Graphics .................................. 49
Chapter 6: Machine Learning Examples in MATLAB ..................... 85
Chapter 7: Face Recognition with Deep Learning ........................ 89
Chapter 8: Data Classification ..................................113
Chapter 9: Classification of Numbers Using Neural Networks .................143
Chapter 10: Kalman Filters ....................................169
Chapter 11: Adaptive Control ..................................207
Chapter 12: Autonomous Driving ................................269
Index .................................................323
V
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