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STATISTICS FOR MACHINE LEARNING
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机器学习统计 STATISTICS FOR MACHINE LEARNING Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Statistics for Machine Learning
Techniques for exploring supervised, unsupervised, and
reinforcement learning models with Python and R
Pratap Dangeti
BIRMINGHAM - MUMBAI

Statistics for Machine Learning
Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, without the prior written permission of the
publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the
information presented. However, the information contained in this book is sold without
warranty, either express or implied. Neither the author, nor Packt Publishing, and its
dealers and distributors will be held liable for any damages caused or alleged to be caused
directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: July 2017
Production reference: 1180717
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78829-575-8
www.packtpub.com

Credits
Author
Pratap Dangeti
Copy Editor
Safis Editing
Reviewer
Manuel Amunategui
Project Coordinator
Nidhi Joshi
Commissioning Editor
Veena Pagare
Proofreader
Safis Editing
Acquisition Editor
Aman Singh
Indexer
Tejal Daruwale Soni
Content Development Editor
Mayur Pawanikar
Graphics
Tania Dutta
Technical Editor
Dinesh Pawar
Production Coordinator
Arvindkumar Gupta

About the Author
Pratap Dangeti develops machine learning and deep learning solutions for structured,
image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has
acquired a lot of experience in both analytics and data science. He received his master's
degree from IIT Bombay in its industrial engineering and operations research program. He
is an artificial intelligence enthusiast. When not working, he likes to read about next-gen
technologies and innovative methodologies.
First and foremost, I would like to thank my mom, Lakshmi, for her support throughout
my career and in writing this book. She has been my inspiration and motivation for
continuing to improve my knowledge and helping me move ahead in my career. She is my
strongest supporter, and I dedicate this book to her. I also thank my family and friends for
their encouragement, without which it would not be possible to write this book.
I would like to thank my acquisition editor, Aman Singh, and content development editor,
Mayur Pawanikar, who chose me to write this book and encouraged me constantly
throughout the period of writing with their invaluable feedback and input.
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