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.