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Practical Machine Learning
Cookbook
Resolving and offering solutions to your machine learning
problems with R
Atul Tripathi
BIRMINGHAM - MUMBAI

Practical Machine Learning Cookbook
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: April 2017
Production reference: 1070417
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78528-051-1
www.packtpub.com

Credits
Author
Atul Tripathi
Copy Editor
Safis Editing
Reviewer
Ryota Kamoshida
Project Coordinator
Nidhi Joshi
Commissioning Editor
Akram Hussain
Proofreader
Safis Editing
Acquisition Editor
Tushar Gupta
Indexer
Tejal Daruwale Soni
Content Development Editor
Aishwarya Pandere
Graphics
Tania Dutta
Technical Editor
Prasad Ramesh
Production Coordinator
Shantanu Zagade

About the Author
Atul Tripathi has spent more than 11 years in the fields of machine learning and
quantitative finance. He has a total of 14 years of experience in software development and
research. He has worked on advanced machine learning techniques, such as neural
networks and Markov models. While working on these techniques, he has solved problems
related to image processing, telecommunications, human speech recognition, and natural
language processing. He has also developed tools for text mining using neural networks. In
the field of quantitative finance, he has developed models for Value at Risk, Extreme Value
Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation
techniques.
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