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Machine Learning with Spark
Second Edition
Develop intelligent machine learning systems with Spark 2.x
Rajdeep Dua
Manpreet Singh Ghotra
Nick Pentreath
BIRMINGHAM - MUMBAI
Machine Learning with Spark
Second Edition
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 authors, 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: February 2015
Second edition: April 2017
Production reference: 1270417
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78588-993-6
www.packtpub.com
Credits
Authors
Rajdeep Dua
Manpreet Singh Ghotra
Nick Pentreath
Copy Editors
Safis Editing
Sonia Mathur
Reviewer
Brian O'Neill
Project Coordinator
Vaidehi Sawant
Commissioning Editor
Akram Hussain
Proofreader
Safis Editing
Acquisition Editor
Tushar Gupta
Indexer
Francy Puthiry
Content Development Editor
Rohit Kumar Singh
Production Coordinator
Deepika Naik
Technical Editors
Nirant Carvalho
Kunal Mali
About the Authors
Rajdeep Dua has over 16 years of experience in the Cloud and Big Data space. He worked
in the advocacy team for Google's big data tools, BigQuery. He worked on the Greenplum
big data platform at VMware in the developer evangelist team. He also worked closely with
a team on porting Spark to run on VMware's public and private cloud as a feature set. He
has taught Spark and Big Data at some of the most prestigious tech schools in India: IIIT
Hyderabad, ISB, IIIT Delhi, and College of Engineering Pune.
Currently, he leads the developer relations team at Salesforce India. He also works with the
data pipeline team at Salesforce, which uses Hadoop and Spark to expose big data
processing tools for developers.
He has published Big Data and Spark tutorials at h t t p ://w w w . c l o u d d a t a l a b . c o m . He has
also presented BigQuery and Google App Engine at the W3C conference in Hyderabad (h t t
p ://w w w c o n f e r e n c e . o r g /p r o c e e d i n g s /w w w 2011/s c h e d u l e /w w w 2011_ P r o g r a m . p d f ). He
led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at
hundreds of other conferences on the cloud. Some of the other references to his work can be
seen at h t t p ://y o u r s t o r y . c o m /2012/06/v m w a r e - h i r e s - r a j d e e p - d u a - t o - l e a d - t h e - d e v e
l o p e r - r e l a t i o n s - i n - i n d i a / and h t t p ://d l . a c m . o r g /c i t a t i o n . c f m ?i d =2624641.
His contributions to the open source community are related to Docker, Kubernetes,
Android, OpenStack, and cloudfoundry.
You can connect with him on LinkedIn at h t t p s ://w w w . l i n k e d i n . c o m /i n /r a j d e e p d .
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