Learning theory

Provide PhD students in Information Technology with a complete overview of fundamental machine learning techniques that they may use during their research activities. Present the theoretical tools for analyzing the performance of machine learning algorithms. Discuss concrete examples of how these techniques can be applied to analyze widely adopted algorithms. The course will focus on both supervised learning and sequential decision-making.