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Building Machine Learning Systems with Python

You're reading from Building Machine Learning Systems with Python

Product type Book

Published in Jul 2013

Publisher Packt

ISBN-13 9781782161400

Pages 290 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Table of Contents (20) Chapters

Building Machine Learning Systems with Python

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started with Python Machine Learning

2. Learning How to Classify with Real-world Examples

3. Clustering – Finding Related Posts

4. Topic Modeling

5. Classification – Detecting Poor Answers

6. Classification II – Sentiment Analysis

7. Regression – Recommendations

8. Regression – Recommendations Improved

9. Classification III – Music Genre Classification

10. Computer Vision – Pattern Recognition

11. Dimensionality Reduction

12. Big(ger) Data

Where to Learn More about Machine Learning

Index

Appendix A. Where to Learn More about Machine Learning

We are at the end of our book and now take a moment to look at what else is out there that could be useful for our readers.

There are many wonderful resources out there to learn more about machine learning (way too much to cover them all here). Our list can therefore represent only a small and very biased sampling of the resources we think are best at the time of writing.

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