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Building Machine Learning Systems with Python

You're reading from Building Machine Learning Systems with Python Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need.

Product type Paperback

Published in Jul 2013

Publisher Packt

ISBN-13 9781782161400

Length 290 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

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 FREE CHAPTER

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

Online courses

Andrew Ng is a Professor at Stanford who runs an online course in machine learning as a massive open online course (MOOC) at Coursera (http://www.coursera.org). It is free of charge, but may represent a significant investment of time and effort (return on investment guaranteed!).

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