Università Roma Tre

The course aims to delve into main foundation methods and techniques for developing Machine Learning algorithms: those that are supervised, unsupervised, and by reinforcement; and to use them as tools for developing applications in specific domains. Aspects of the main areas of the discipline, including regression, classification and clustering, will be studied.
Lectures and exercises conducted during the course will allow students to learn methods and techniques for choosing and training specific machine learning approaches from real datasets on various domains, e.g., health care, financial analysis, video games, computer vision, recommender systems.