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ADVANCED MACHINE LEARNING

CODE 101804
ACADEMIC YEAR 2022/2023
CREDITS
  • 9 cfu during the 1st year of 10852 COMPUTER SCIENCE (LM-18) - GENOVA
  • 6 cfu during the 1st year of 9011 MATEMATICA(LM-40) - GENOVA
  • 10 cfu during the 2nd year of 8732 INGEGNERIA ELETTRONICA (LM-29) - 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.