Machine Learning Approach for Cloud Data Analytics in IoT. Группа авторов

Читать онлайн книгу.

Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов


Скачать книгу
435

      441  436

      442  437

      443  438

      444  439

      445  440

      446  441

      447  442

      448  443

      449  444

      450  445

      451  446

      452  447

      453 448

      454  449

      455  450

      456  451

      457  452

      458  453

      459  454

      460  455

      461  456

      462  457

      463  458

      464  459

      465  461

      466  462

      467  463

      468  464

      469  465

      470  466

      471  467

      472  468

      473  469

      474  470

      475  471

      476  472

      477  473

      478  474

      479  475

      480  476

      481  477

      482  478

      483  479

      484  480

      485  481

      486 482

      487  483

      488  484

      489  485

      490  486

      491  487

      492  488

      493  489

      494  490

      495  491

      496 492

      497 493

      498 494

      499 495

      500 496

      501 497

      502  498

      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Publishers at Scrivener

      Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      Machine Learning Approach for Cloud Data Analytics in IoT

      Edited by

       Sachi Nandan Mohanty

       Jyotir Moy Chatterjee

       Monika Mangla

       Suneeta Satpathy

       Sirisha Potluri

images

      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.

       Wiley Global Headquarters

      111 River Street, Hoboken, NJ 07030, USA

      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 978-1-119-78580-4

      Cover image: Pixabay.Com

      Cover design by Russell Richardson

      Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines

      Printed in the USA

      10 9 8 7 6 5 4 3 2 1

      Preface


Скачать книгу