• Complain

Bashier Eihab Bashier Mohammed - Machine learning: algorithms and applications

Here you can read online Bashier Eihab Bashier Mohammed - Machine learning: algorithms and applications full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Boca Raton, year: 2017, publisher: CRC Press, genre: Children. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover

Machine learning: algorithms and applications: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Machine learning: algorithms and applications" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Bashier Eihab Bashier Mohammed: author's other books


Who wrote Machine learning: algorithms and applications? Find out the surname, the name of the author of the book and a list of all author's works by series.

Machine learning: algorithms and applications — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Machine learning: algorithms and applications" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make

Machine Learning Algorithms and Applications OTHER TITLES FROM AUERBACH - photo 1

Machine Learning

Algorithms and Applications

OTHER TITLES FROM AUERBACH PUBLICATIONS AND CRC PRESS

Adaptive, Dynamic, and Resilient Systems

Edited by Niranjan Suri and
Giacomo Cabri
ISBN 978-1-4398-6848-5

Anti-Spam Techniques Based on Artificial Immune System

Ying Tan
ISBN 978-1-4987-2518-7

Case Studies in Secure Computing: Achievements and Trends

Edited by Biju Issac
and Nauman Israr
ISBN 978-1-4822-0706-4

Cognitive Robotics

Edited by Hooman Samani
ISBN 978-1-4822-4456-4

Computational Intelligent Data Analysis for Sustainable Development

Edited by Ting Yu, Nitesh Chawla,
and Simeon Simoff
ISBN 978-1-4398-9594-8

Computational Trust Models and Machine Learning

Xin Liu, Anwitaman Datta,
and Ee-Peng Lim
ISBN 978-1-4822-2666-9

Enhancing Computer Security with Smart Technology

V. Rao Vemuri
ISBN 978-0-8493-3045-2

Exploring Neural Networks with C#

Ryszard Tadeusiewicz,
Rituparna Chaki, and
Nabendu Chaki
ISBN 978-1-4822-3339-1

Generic and Energy-Efficient Context-Aware Mobile Sensing

Ozgur Yurur and Chi Harold Liu
ISBN 978-1-4987-0010-8

Network Anomaly Detection: A Machine Learning Perspective

Dhruba Kumar Bhattacharyya
and Jugal Kumar Kalita
ISBN 978-1-4665-8208-8

Risks of Artificial Intelligence

Vincent C. Mller
ISBN 978-1-4987-3482-0

The Cognitive Early Warning Predictive System Using the Smart Vaccine: The New Digital Immunity Paradigm for Smart Cities and Critical Infrastructure

Rocky Termanini
ISBN 978-1-4987-2651-1

The State of the Art in Intrusion Prevention and Detection

Edited by Al-Sakib Khan Pathan
ISBN 978-1-4822-0351-6

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Yunong Zhang, Lin Xiao,
Zhengli Xiao, and Mingzhi Mao
ISBN 978-1-4987-5376-0

Machine Learning

Algorithms and Applications

Mohssen Mohammed

Muhammad Badruddin Khan

Eihab Bashier Mohammed Bashier

Contents Landmarks MATLAB is a trademark of The MathWorks Inc and is used - photo 2

Contents
Landmarks

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
6000 Broken Sound Parkway NW, Suite 300
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.

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

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

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Machine learning: algorithms and applications»

Look at similar books to Machine learning: algorithms and applications. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Machine learning: algorithms and applications»

Discussion, reviews of the book Machine learning: algorithms and applications and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.