Advanced Machine Learning with Python.pdf

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Advanced Machine Learning
with Python
Solve challenging data science problems by mastering
cutting-edge machine learning techniques in Python
John Hearty
BIRMINGHAM - MUMBAI
Advanced Machine Learning with Python
Copyright © 2016 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
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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: July 2016
Production reference: 1220716
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78439-863-7
www.packtpub.com
Credits
Author
John Hearty
Reviewers
Jared Huffman
Ashwin Pajankar
Indexer
Commissioning Editor
Akram Hussain
Graphics
Acquisition Editor
Sonali Vernekar
Production Coordinator
Content Development Editor
Mayur Pawanikar
Cover Work
Technical Editor
Suwarna Patil
Copy Editor
Tasneem Fatehi
Arvindkumar Gupta
Arvindkumar Gupta
Disha Haria
Mariammal Chettiyar
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editing
About the Author
John Hearty
is a consultant in digital industries with substantial expertise in data
science and infrastructure engineering. Having started out in mobile gaming, he was
drawn to the challenge of AAA console analytics.
Keen to start putting advanced machine learning techniques into practice, he
signed on with Microsoft to develop player modelling capabilities and big data
infrastructure at an Xbox studio. His team made significant strides in engineering
and data science that were replicated across Microsoft Studios. Some of the more
rewarding initiatives he led included player skill modelling in asymmetrical games,
and the creation of player segmentation models for individualized game experiences.
Eventually John struck out on his own as a consultant offering comprehensive
infrastructure and analytics solutions for international client teams seeking new
insights or data-driven capabilities. His favourite current engagement involves
creating predictive models and quantifying the importance of user connections
for a popular social network.
After years spent working with data, John is largely unable to stop asking questions.
In his own time, he routinely builds ML solutions in Python to fulfil a broad set of
personal interests. These include a novel variant on the StyleNet computational
creativity algorithm and solutions for algo-trading and geolocation-based
recommendation. He currently lives in the UK.

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