Bayesian Analysis with Python.

Table of Contents

1. Thinking probabilistically
2. Programming probabilistically
3. Modeling with Linear Regression
4. Generalizing Linear Models
5. Model Comparison
6. Mixture Models
7. Gaussian Processes
8. Inference Engines
9. Where To Go Next?