Bashier Eihab Bashier Mohammed - Machine learning: algorithms and applications
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Machine Learning
Algorithms and Applications
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Algorithms and Applications
Mohssen Mohammed
Muhammad Badruddin Khan
Eihab Bashier Mohammed Bashier
MATLAB is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This books use or discussion of MATLAB software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB software.
CRC Press
Taylor & Francis Group
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Boca Raton, FL 33487-2742
2017 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed on acid-free paper
Version Date: 20160428
International Standard Book Number-13: 978-1-4987-0538-7 (Hardback)
This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.
For permission to photocopy or use material electronically from this work, please access www.copyright.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged.
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Library of Congress Cataloging-in-Publication Data
Names: Mohammed, Mohssen, 1982- author. | Khan, Muhammad Badruddin, author. |
Bashier, Eihab Bashier Mohammed, author.
Title: Machine learning : algorithms and applications / Mohssen Mohammed,
Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier.
Description: Boca Raton : CRC Press, 2017. | Includes bibliographical
references and index.
Identifiers: LCCN 2016015290 | ISBN 9781498705387 (hardcover : alk. paper)
Subjects: LCSH: Machine learning. | Computer algorithms.
Classification: LCC Q325.5 .M63 2017 | DDC 006.3/12--dc23
LC record available at https://lccn.loc.gov/2016015290
Visit the Taylor & Francis Web site at
http://www.taylorandfrancis.com
and the CRC Press Web site at
http://www.crcpress.com
To our parents, families, brothers and sisters, and
to our students, we dedicate this book.
If you are new to machine learning and you do not know which book to start from, then the answer is this book. If you know some of the theories in machine learning, but you do not know how to write your own algorithms, then again you should start from this book.
This book focuses on the supervised and unsupervised machine learning methods. The main objective of this book is to introduce these methods in a simple and practical way, so that they can be understood even by beginners to get benefit from them.
In each chapter, we discuss the algorithms through which the chapter methods work, and implement the algorithms in MATLAB. We chose MATLAB to be the main programming language of the book because it is simple and widely used among scientists; at the same time, it supports the machine learning methods through its statistics toolbox.
The book consists of 12 chapters, divided into two sections:
I: Supervised Learning Algorithms
II: Unsupervised Learning Algorithms
In the first section, we discuss the decision trees, rule-based classifiers, nave Bayes classification, k-nearest neighbors, neural networks, linear discriminant analysis, and support vector machines.
In the second section, we discuss the k-means, Gaussian mixture model, hidden Markov model, and principal component analysis in the context of dimensionality reduction.
We have written the chapters in such a way that all are independent of one another. That means the reader can start from any chapter and understand it easily.
MATLAB is a registered trademark of The MathWorks, Inc. For product information, please contact:
The MathWorks, Inc.
3 Apple Hill Drive
Natick, MA 01760-2098 USA
Tel: 508-647-7000
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