E-Book Overview
Packt Publishing, 2015. — 164 p. — ISBN: 1783554991, 9781783554997
Apache Mahout is a scalable machine learning library with algorithms for clustering, classification, and recommendations. It empowers users to analyze patterns in large, diverse, and complex datasets faster and more scalably. This book is an all-inclusive guide to analyzing large and complex datasets using Apache Mahout. It explains complicated but very effective machine learning algorithms simply, in relation to real-world practical examples. Starting from the fundamental concepts of machine learning and Apache Mahout, this book guides you through Apache Mahout's implementations of machine learning techniques including classification, clustering, and recommendations. During this exciting walkthrough, real-world applications, a diverse range of popular algorithms and their implementations, code examples, evaluation strategies, and best practices are given for each technique. Finally, you will learn vdata visualization techniques for Apache Mahout to bring your data to life.
E-Book Content
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Apache Mahout Essentials
Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
Jayani Withanawasam
BIRMINGHAM - MUMBAI
Apache Mahout Essentials Copyright © 2015 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: June 2015
Production reference: 1120615
Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78355-499-7 www.packtpub.com
Credits Author Jayani Withanawasam Reviewers Guillaume Agis
Project Coordinator Vijay Kushlani Proofreader Safis Editing
Saleem A. Ansari Sahil Kharb Pavan Kumar Narayanan Commissioning Editor Akram Hussain Acquisition Editor Shaon Basu Content Development Editor Nikhil Potdukhe Technical Editor Tanmayee Patil Copy Editor Dipti Kapadia
Indexer Tejal Soni Graphics Sheetal Aute Jason Monteiro Production Coordinator Melwyn D'sa Cover Work Melwyn D'sa
About the Author Jayani Withanawasam is R&D engineer and a senior software engineer at Zaizi
Asia, where she focuses on applying machine learning techniques to provide smart content management solutions. She is currently pursuing an MSc degree in artificial intelligence at the University of Moratuwa, Sri Lanka, and has completed her BE in software engineering (with first class honors) from the University of Westminster, UK. She has more than 6 years of industry experience, and she has worked in areas such as machine learning, natural language processing, and semantic web technologies during her tenure. She is passionate about working with semantic technologies and big data. First of all, I would like to thank the Apache Mahout contributors for the invaluable effort that they have put in the project, crafting it as a popular scalable machine learning library in the