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Matthew Kirk
Thoughtful Machine Learning with
Python
A Test-Driven Approach
Boston Farnham Sebastopol
Tokyo
Beijing Boston Farnham Sebastopol
Tokyo
Beijing
978-1-491-92406-8
[FILL IN]
Thoughtful Machine Learning with Python
by Matthew Kirk
Copyright © 2016 Matthew Kirk. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are
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Editor: Shannon Cutt
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Interior Designer: David Futato
Cover Designer: Karen Montgomery
Illustrator: Rebecca Demarest
November 2016: First Edition
Revision History for the First Edition
2016-11-14 First Early Release
See http://oreilly.com/catalog/errata.csp?isbn=9781491924068 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Thoughtful Machine Learning with
Python, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc.
While the publisher and the author(s) have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author(s) disclaim all responsibil‐
ity for errors or omissions, including without limitation responsibility for damages resulting from the use
of or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.
Table of Contents
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
1.
Probably Approximately Correct Software. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Writing Software Right 2
SOLID 2
Testing or TDD 4
Refactoring 5
Writing the Right Software 7
Writing the right software with Machine Learning 7
What exactly is Machine Learning? 7
The High Interest Credit Card Debt of Machine Learning 8
SOLID applied to Machine Learning 9
Machine Learning code is complex but not impossible 12
TDD: Scientific Method 2.0 13
Refactoring our way to knowledge 13
The Plan for the book 13
2.
A Quick Introduction to Machine Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
What Is Machine Learning? 15
Supervised Learning 16
Unsupervised Learning 16
Reinforcement Learning 17
What Can Machine Learning Accomplish? 17
Mathematical Notation Used Throughout the Book 18
3.
K-Nearest Neighbors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
How do you determine whether you want to buy a house? 21
How valuable is that house? 22
iii
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