| CODICE | 101804 |
|---|---|
| ANNO ACCADEMICO | 2022/2023 |
| CFU |
9 cfu al 1° anno di 10852 COMPUTER SCIENCE (LM-18) GENOVA
5 cfu al 2° anno di 8732 INGEGNERIA ELETTRONICA (LM-29) GENOVA 6 cfu al 1° anno di 9011 MATEMATICA (LM-40) GENOVA |
| SETTORE SCIENTIFICO DISCIPLINARE | INF/01 |
| LINGUA | Inglese |
| SEDE | GENOVA (COMPUTER SCIENCE ) |
| PERIODO | 2° Semestre |
| MATERIALE DIDATTICO | AULAWEB |
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 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).
Ricevimento: Ricevimento su appuntamento da concordare via email (nicoletta.noceti@unige.it)
Ricevimento: Appointment through email