Please note there there is no required textbook for this course. The following list has some recommendations in case you are eager to learn more, or would like to see the material presented in a different way:
Machine Learning: a Probabilistic Perspective by Kevin Patrick Murphy
Bayesian Data Analysis by Andrew Gelman et al.
Materials from last year
- Please see the folder on github.