- Building Machine Learning Systems with Python
- Table of Contents
- Building Machine Learning Systems with Python
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Started with Python Machine Learning
- Machine learning and Python – the dream team
- What the book will teach you (and what it will not)
- What to do when you are stuck
- Getting started
- Our first (tiny) machine learning application
- Summary
- 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
- A. Where to Learn More about Machine Learning
- Index
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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