Course: Theory and Practice of Learning from Data

Credits: 5

Hours: about 20

Teachers: Luca Oneto <>


Where: Online on Zoom (ID: 83326598045 - Passcode: 589300)

Exam: Small presentation (max 30 min) on how the concepts presented in the course ca be used/extended during the student PhD.

Material: (LINK)

Course Description


This course aims at providing an introductory and unifying view of learning from data (inductive Artificial Intelligence). The course will present an overview of the theoretical background of learning from data, including the most used algorithms in the field, as well as  practical applications.

Teaching mode: 

Theoretical lesson plus laboratories in Python using Google Colab