Fondamenti di Machine Learning (6 CFU)

Bachelor level course for students of the Bachelor’s Degree in Communication Engineering, introducing basic concepts of machine learning both from a theoretical and from a practical perspective.

[Course website]

Neural Networks for Data Science Applications (6 CFU)

Master level course for students of the Master’s Degree in Data Science, describing the basic ideas of deep learning applied to different types of data.

[Course website]

Previous years: [2020-2021] | [2021-2022] | [2022-2023]

Neural Networks (6 CFU)

The course is intended as a broad overview to neural networks, as used today in a number of applicative fields. It provides a strong theoretical and practical understanding of how neural networks and modern deep networks are designed and implemented (Master’s Degree in AI and Robotics, co-taught with Prof. Danilo Comminiello).

[Course website]

Previous years: [2022-2023]

Deep Learning Seminars (3 CFU, 2022)

The seminars will cover several advanced topics in deep learning: meta learning (i.e., “learning to learn”), continual learning (i.e., learning from a continuous stream of tasks), and data engineering for deep learning (i.e., preparing data for being used in deep learning pipelines).

[Course website]

Reproducible Deep Learning (3 CFU, 2021)

PhD Course for the Data Science program, describing tools and idea to produce reproducible models and experiments (Git, DVC, Docker, …).

[Course website] [ GitHub repository]