Information Theory and Inference

This repository contains the solution of the homeworks given during the course Information Theory and Inference. After completing this course the student should be able to

1. Acquire fundamental knowledge of Bayesian thinking and Information Theory.
2. Acquire the ability to build an appropriate statistical model based on the available data of the system.
3. Know how to learn the model through appropriate inference schemes.
4. Connect concepts between Information Theory, Bayesian Statistics and Statistical Mechanics.