Book Content
chapters • 8h36m total length
1. An Introduction to Streaming Data
2. Architectures for Streaming and Real-Time Machine Learning
3. Data Analysis on Streaming Data
4. Online Learning with River
5. Online Anomaly Detection
6. Online Classification
7. Online Regression
8. Reinforcement Learning
9. Drift and Drift Detection
10. Feature Transformation and Scaling
11. Catastrophic Forgetting
12. Conclusion and Best Practices
