Book Content
chapters • 15h12m total length
1. Neural Networks and Gradient-Based Optimization
2. Applying Machine Learning to Structured Data
3. Utilizing Computer Vision
4. Understanding Time Series
5. Parsing Textual Data with Natural Language Processing
6. Using Generative Models
7. Reinforcement Learning for Financial Markets
8. Privacy, Debugging, and Launching Your Products
9. Fighting Bias
10. Bayesian Inference and Probabilistic Programming
