Python Machine Learning Cookbook,

Table of Contents

1. The Realm of Supervised Learning
2. Constructing a Classifier
3. Predictive Modeling
4. Clustering with Unsupervised Learning
5. Visualizing Data
6. Building Recommendation Engines
7. Analyzing Text Data
8. Speech Recognition
9. Dissecting Time Series and Sequential Data
10. Image Content Analysis
11. Biometric Face Recognition
12. Reinforcement Learning Techniques
13. Deep Neural Networks
14. Unsupervised Representation Learning
15. Automated machine learning and Transfer learning
16. Unlocking Production issues