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Jason Bell - Machine Learning: Hands-On for Developers and Technical Professionals

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Jason Bell Machine Learning: Hands-On for Developers and Technical Professionals
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Dig deep into the data with a hands-on guide to machine learning

Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructors Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference.

At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to:

  • Learn the languages of machine learning including Hadoop, Mahout, and Weka
  • Understand decision trees, Bayesian networks, and artificial neural networks
  • Implement Association Rule, Real Time, and Batch learning
  • Develop a strategic plan for safe, effective, and efficient machine learning

By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

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Machine Learning: Hands-On for Developers and Technical Professionals

Published by
John Wiley & Sons, Inc.
10475 Crosspoint Boulevard
Indianapolis, IN 46256
www.wiley.com

Copyright 2015 by John Wiley & Sons, Inc., Indianapolis, Indiana
Published simultaneously in Canada

ISBN: 978-1-118-88906-0
ISBN: 978-1-118-88939-8 (ebk)
ISBN: 978-1-118-88949-7 (ebk)

Manufactured in the United States of America

10 9 8 7 6 5 4 3 2 1

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Web site is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or website may provide or recommendations it may make. Further, readers should be aware that Internet websites listed in this work may have changed or disappeared between when this work was written and when it is read.

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To Wendy and Clarissa.

Credits

Executive Editor

Carol Long

Project Editor

Charlotte Kughen

Technical Editor

Mitchell Wyle

Production Editor

Christine Mugnolo

Copy Editor

Katherine Burt

Production Manager

Kathleen Wisor

Manager of Content Development and Assembly

Mary Beth Wakefield

Director of Community Marketing

David Mayhew

Marketing Manager

Carrie Sherrill

Business Manager

Amy Knies

Professional Technology & Strategy Director

Barry Pruett

Associate Publisher

Jim Minatel

Project Coordinator, Cover

Patrick Redmond

Proofreader

Nancy Carrasco

Indexer

Johnna Dinse

Cover Designer

Wiley

Cover Image

iStock.com/VLADGRIN

About the Author

Jason Bell has been working with point-of-sale and customer-loyalty data since 2002, and he has been involved in software development for more than 25 years. He is founder of Datasentiment, a UK business that helps companies worldwide with data acquisition, processing, and insight.

Acknowledgments

During the autumn of 2013, I was presented with some interesting options: either do a research-based PhD or co-author a book on machine learning. One would take six years and the other would take seven to eight months. Because of the speed the data industry was, and still is, progressing, the idea of the book was more appealing because I would be able to get something out while it was still fresh and relevant, and that was more important to me.

I say co-author because the original plan was to write a machine learning book with Aidan Rogers. Due to circumstances beyond his control he had to pull out. With Aidan's blessing, I continued under my own steam, and for that opportunity I can't thank him enough for his grace, encouragement, and support in that decision.

Many thanks goes to Wiley, especially Executive Editor, Carol Long, for letting me tweak things here and there with the original concept and bring it to a more practical level than a theoretical one; Project Editor, Charlotte Kughen, who kept me on the straight and narrow when there were times I didn't make sense; and Mitchell Wyle for reviewing the technical side of things. Also big thanks to the Wiley family as a whole for looking after me with this project.

Over the years I've met and worked with some incredible people, so in no particular order here goes: Garrett Murphy, Clare Conway, Colin Mitchell, David Crozier, Edd Dumbill, Matt Biddulph, Jim Weber, Tara Simpson, Marty Neill, John Girvin, Greg O'Hanlon, Clare Rowland, Tim Spear, Ronan Cunningham, Tom Grey, Stevie Morrow, Steve Orr, Kevin Parker, John Reid, James Blundell, Mary McKenna, Mark Nagurski, Alan Hook, Jon Brookes, Conal Loughrey, Paul Graham, Frankie Colclough, and countless others (whom I will be kicking myself that I've forgotten) for all the meetings, the chats, the ideas, and the collaborations.

Thanks to Tim Brundle, Matt Johnson, and Alan Thorburn for their support and for introducing me to the people who would inspire thoughts that would spur me on to bigger challenges with data. An enormous thank you to Thomas Spinks for having faith in me, without him there wouldn't have been a career in computing.

In relation to the challenge of writing a book I have to thank Ben Hammersley, Alistair Croll, Alasdair Allan, and John Foreman for their advice and support throughout the whole process.

I also must thank my dear friend, Colin McHale, who, on one late evening while waiting for the soccer data to refresh, taught me Perl on the back of a KitKat wrapper, thus kick-starting a journey of software development.

Finally, to my wife, Wendy, and my daughter, Clarissa, for absolutely everything and encouraging me to do this book to the best of my nerdy ability. I couldn't have done it without you both. And to the Bell familyGeorge, Maggie and my sister Fernwho have encouraged my computing journey from a very early age.

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