Mastering .NET Machine Learning - Jamie Dixon.pdf

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Mastering .NET Machine
Learning
Master the art of machine learning with .NET and
gain insight into real-world applications
Jamie Dixon
BIRMINGHAM - MUMBAI
Mastering .NET Machine Learning
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
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: March 2016
Production reference: 1210316
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-840-3
www.packtpub.com
Credits
Author
Jamie Dixon
Reviewers
Reed Copsey, Jr.
César Roberto de Souza
Graphics
Commissioning Editor
Vedika Naik
Production Coordinator
Acquisition Editor
Meeta Rajani
Cover Work
Technical Editor
Pankaj Kadam
Copy Editor
Laxmi Subramanian
Aparna Bhagat
Aparna Bhagat
Jason Monteiro
Proofreader
Safis Editing
Indexer
Rekha Nair
About the Author
Jamie Dixon
has been writing code for as long as he can remember and has been
getting paid to do it since 1995. He was using C# and JavaScript almost exclusively
until discovering F#, and now combines all three languages for the problem at hand.
He has a passion for discovering overlooked gems in datasets and merging software
engineering techniques to scientific computing. When he codes for fun, he spends
his time using Phidgets, Netduinos, and Raspberry Pis or spending time in Kaggle
competitions using F# or R.
Jamie is a bachelor of science in computer science and has been an F# MVP since
2014. He is the former chair of his town's Information Services Advisory Board and
is an outspoken advocate of open data. He is also involved with his local .NET User
Group (TRINUG) with an emphasis on data analytics, machine learning, and the
Internet of Things (IoT).
Jamie lives in Cary, North Carolina with his wonderful wife Jill and their three
awesome children: Sonoma, Sawyer, and Sloan. He blogs weekly at
jamessdixon.
wordpress.com
and can be found on Twitter at
@jamie_dixon
.

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