Dev - Deep learning with Hadoop : build, implement and scale distributed deep learning models for large-scale datasets
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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: February 2017
Production reference: 1130217
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78712-476-9
www.packtpub.com
Authors Dipayan Dev | Copy Editor Safis Editing |
Reviewers Shashwat Shriparv Wissem EL Khlifi | Project Coordinator Shweta H Birwatkar |
Commissioning Editor Amey Varangaonkar | Proofreader Safis Editing |
Acquisition Editor Divya Poojari | Indexer Mariammal Chettiyar |
ContentDevelopment Editor Sumeet Sawant | Graphics Tania Dutta |
Technical Editor Nilesh Sawakhande | Production Coordinator Melwyn Dsa |
Dipayan Devhas completed his M.Tech from National Institute of Technology, Silchar with a first class first and is currently working as a software professional in Bengaluru, India. He has extensive knowledge and experience in non-relational database technologies, having primarily worked with large-scale data over the last few years. His core expertise lies in Hadoop Framework. During his postgraduation, Dipayan had built an infinite scalable framework for Hadoop, called Dr. Hadoop, which got published in top-tier SCI-E indexed journal of Springer ( http://link.springer.com/article/10.1631/FITEE.1500015 ). Dr. Hadoop has recently been cited by Goo Wikipedia in their Apache Hadoop article. Apart from that, he registers interest in a wide range of distributed system technologies, such as Redis, Apache Spark, Elasticsearch, Hive, Pig, Riak, and other NoSQL databases. Dipayan has also authored various research papers and book chapters, which are published by IEEE and top-tier Springer Journals. To know more about him, you can also visit his LinkedIn profile https://www.linkedin.com/in/dipayandev .
Shashwat Shriparvhas more than 7 years of IT experience. He has worked with various technologies on his career path, such as Hadoop and subprojects, Java, .NET, and so on. He has experience in technologies such as Hadoop, HBase, Hive, Pig, Flume, Sqoop, Mongo, Cassandra, Java, C#, Linux, Scripting, PHP, C++, C, Web technologies, and various real-life use cases in BigData technologies as a developer and administrator. He likes to ride bikes, has interest in photography, and writes blogs when not working.
He has worked with companies such as CDAC, Genilok, HCL, UIDAI(Aadhaar), Pointcross; he is currently working with CenturyLink Cognilytics.
He is the author of
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