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ADVANCED MACHINE LEARNING

CODE 101804
ACADEMIC YEAR 2021/2022
CREDITS 9 credits during the 1st year of 10852 COMPUTER SCIENCE (LM-18) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

AIMS AND CONTENT

LEARNING OUTCOMES

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.

PREREQUISITES

The material covered in the Machine learning Course.

TEACHING METHODS

Classes and practical labs. 

SYLLABUS/CONTENT

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).

 

RECOMMENDED READING/BIBLIOGRAPHY

Distributed in class. 

TEACHERS AND EXAM BOARD

Exam Board

LORENZO ROSASCO (President)

ANNALISA BARLA (President Substitute)

NICOLETTA NOCETI (President Substitute)

LESSONS

Class schedule

All class schedules are posted on the EasyAcademy portal.

EXAMS

Exam schedule

Date Time Location Type Notes
27/01/2022 09:00 GENOVA Esame su appuntamento
18/02/2022 09:00 GENOVA Esame su appuntamento
23/06/2022 09:00 GENOVA Esame su appuntamento
14/09/2022 09:00 GENOVA Esame su appuntamento
25/01/2023 09:00 GENOVA Esame su appuntamento