Machine Learning Algorithms and Applications

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Machine Learning Algorithms  The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106

Sustainable Computing and Optimization

The objective of the series is to bring together the global research scholars, experts, and scientists in the research areas of sustainable computing and optimization from all over the world to share their knowledge and experiences on current research achievements in these fields. The series aims to provide a golden opportunity for the global research community to share their novel research results, findings, and innovations to a wide range of readers. Data is everywhere and continuing to grow massively, which has created a huge demand for qualified experts who can uncover valuable insights from the data. The series will promote sustainable computing and optimization methodologies in order to solve real life problems mainly from engineering and management systems domains. The series will mainly focus on the real-life problems, which can suitably be handled through these paradigms.

Submission to the series:

Dr. Prasenjit ChatterjeeDepartment of Mechanical Engineering, MCKV Institute of Engineering, Howrah - 711204, West Bengal, India E-mail: dr.prasenjitchatterjee6@gmail.com

Dr. Morteza YazdaniDepartment of Management, Universidad Loyola Andalucia, Seville, Spain E-mail: morteza_yazdani21@yahoo.com

Dr. Dilbagh PanchalDepartment of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar, Punjab, India E-mail: panchald@nitj.ac.in

Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com) Phillip Carmical ( pcarmical@scrivenerpublishing.com)

Machine Learning Algorithms and Applications

Edited by

Mettu Srinivas,

National Institute of Technology, Warangal, India

G. Sucharitha,

Institute of Aeronautical Engineering, Hyderabad, India

Anjanna Matta

Faculty of Science and Technology, IFHE, Hyderabad, India

and

Prasenjit Chatterjee

MCKV Institute of Engineering, Howrah, India

This edition first published 2021 by John Wiley Sons Inc 111 River Street - фото 1

This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

© 2021 Scrivener Publishing LLC

For more information about Scrivener publications please visit www.scrivenerpublishing.com.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

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For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Limit of Liability/Disclaimer of Warranty

While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials, or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read.

Library of Congress Cataloging-in-Publication Data

ISBN 978-1-119-76885-2

Cover image: Pixabay.Com

Cover design by Russell Richardson

Acknowledgments

This book is based on research conducted at various leading technical institutions on different topics regarding the machine and deep learning platforms used throughout India. We are grateful to the many authors and co-authors who contributed their research work for use in the successful completion of this book. We are also grateful to our colleagues for their encouragement to start the process of working on the book, persevere throughout it, and finally publish it.

We gratefully acknowledge NIT Warangal and the Faculty of Science & Technology, ICFAI Foundation for Higher Education, Hyderabad, for providing the use of their facilities to carry out the work on this book. Finally, we would like to acknowledge with gratitude, the support and love from our parents, life partners and children.

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