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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

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

Credits

Authors

Willi Richert

Luis Pedro Coelho

Reviewers

Matthieu Brucher

Mike Driscoll

Maurice HT Ling

Acquisition Editor

Kartikey Pandey

Lead Technical Editor

Mayur Hule

Technical Editors

Sharvari H. Baet

Ruchita Bhansali

Athira Laji

Zafeer Rais

Copy Editors

Insiya Morbiwala

Aditya Nair

Alfida Paiva

Laxmi Subramanian

Project Coordinator

Anurag Banerjee

Proofreader

Paul Hindle

Indexer

Tejal R. Soni

Graphics

Abhinash Sahu

Production Coordinator

Aditi Gajjar

Cover Work

Aditi Gajjar

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Building Machine Learning Systems with Python
Published in: Jul 2013 Publisher: Packt ISBN-13: 9781782161400
© 2013 Packt Publishing Limited All Rights Reserved
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