Mathematics for Machine Learning
academic year 2023/24
Academic Coordinator: Enrico Bozzo
Instructors: Enrico Bozzo, Dimitri Breda, Paolo Vidoni, Michela Battauz, Giuseppe Alfonzetti, Carla Manni (Università Roma TorVergata), Gabor Orosz (University of Michigan), Leonardo Egidi (Università di Trieste)
Period: Second semester
Duration: 28 hours
Program: This course aims to provide an overview of ideas and problems drawn from linear algebra, numerical analysis, optimization, and statistics, offering an appropriate language to describe many machine learning algorithms. The course will also cover some applications of interest.
Sessions:
- Enrico Bozzo - 7 hours
- Dimitri Breda - 8 hours
- Paolo Vidoni - 2 hours
- Michela Battauz - 2 hours
- Giuseppe Alfonzetti - 2 hours
- Carla Manni - 3 hours
- Gabor Orosz - 2 hours (remote)
- Leonardo Egidi - 2 hours