The purpose of the course is to provide the students basic knowledge of the most important algorithms and theory that form the basis for machine learning and computational intelligence as well as a practical knowledge of machine learning algorithms and methods.
This repository contains code written during the fall semester 2017 by Simone Stefani
Laboratories
- LAB1 - Classification Trees
- LAB2 - Support Vector Machines
- LAB3 - Bayesian Learning and Boosting