Theory of Bayesian ML
Bayesian ML
Sampling from distributions
Bayesian ML with PyMC
Gaussian processes
Active Learning
Appendix 1 - Linear Algebra for ML
Appendix 2 - Stochastic processes
References
This book is an effort to explain complex ML concepts with interactive codes and visualizations.
next
Marginal likelihood for Bayesian linear regression
