|SCIENTIFIC DISCIPLINARY SECTOR||INF/01|
Learning how to use advanced machine learning algorithms, including learning data representation (dictionaries and metric), deep learning, and learning in dynamic environment (online, active and reinforcement learning), by grasping the underlying computational and modeling issues.
The material covered in the Machine learning Course.
Classes and practical labs.
The course covers a range of diverse topics including learning data representation (dictionaries and metric), deep learning, and learning in dynamic environment (online, active and reinforcement learning).
Distributed in class.
Office hours: Appointment by email
LORENZO ROSASCO (President)
ANNALISA BARLA (President Substitute)
NICOLETTA NOCETI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
|05/06/2023||09:00||GENOVA||Esame su appuntamento|
|04/09/2023||09:00||GENOVA||Esame su appuntamento|
|08/01/2024||09:00||GENOVA||Esame su appuntamento|