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Advanced Topics in Machine Learning

Description

COURSE OBJECTIVES

The goal of the course is to expose students to advanced topics in machine learning so as to complement and enrich material seen in basic machine learning courses.

 

COURSE DESCRIPTION
The course aims at entertaining students on advanced topics in machine learning by both touching technologies/methodologies and applications.

 

LEARNING METHODS
The teaching modality blends frontal teaching done by the instructors -we will also invite international fellows to deliver some lectures- and presentations done by groups of students on hot machine learning topics on provided material. Assignments will be given to groups of students to perfect some topics understanding.

 

EXAMINATION INFORMATION
Assignments and presentations done by the students.

 

PREREQUISITES

  • Machine Learning

 

REFERENCES

  • Material and papers provided by the instructor

People

 

Alippi C.

Course director

Cini A.

Assistant

Zambon D.

Assistant

Additional information

Semester
Fall
Academic year
2020-2021
ECTS
3
Language
English
Education
Master of Science in Artificial Intelligence, Elective course, Lecture, 1st year
Master of Science in Artificial Intelligence, Elective course, Lecture, 2nd year
Master of Science in Computational Science, Elective course, Lecture, 2nd year
PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (2 ECTS)
PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (2 ECTS)