Simple Probabilistic Models
Includes:
- Advanced Naive Bayes
- Bayesian Logistic Regression with Prior
- Computed Expectation Maximization to approximate the posterior
- Stochastic Variational Inference, (also using simple MC )
| Favorite Sources/Resources | |
|---|---|
| PLR, CSC412/2506 | http://www.cs.toronto.edu/~jessebett/CSC412/ |
| inFERENCe | https://www.inference.vc/ |
Also include PLR coursework assignment in:
/assignment