This repository is about the Probabilistic graphical models course of the MVA master of ENS Cachan. It contains its homeworks.
Linear classifitcation and comparison between 4 models: LDA, linear regression, logistic regression and QDA.
-Theory: Factorization in graphical models. -Implementation: Gaussian mixture models and EM algorithm.
- Hidden Markov models and alpha-beta recursion.
- EM algorithm and Viterbi max-product algorithm.
- Comparision with the previous homework.