ADVANCED MACHINE LEARNING

ADVANCED MACHINE LEARNING

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Last update 11/06/2021 07:26
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 (COMPUTER SCIENCE )
semester
2° Semester
Teaching materials

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

Ricevimento: Appointment by email

Ricevimento: Appointment by email (nicoletta.noceti@unige.it)

Exam Board

LORENZO ROSASCO (President)

NICOLETTA NOCETI (President Substitute)

ANNALISA BARLA (President Substitute)

LESSONS

Teaching methods

Classes and practical labs. 

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.