Advanced Topics in Machine Learning

Learning Goals

The course will expose students to cutting edge research problems in several areas of machine learning: bayesian machine learning, variational inference, theory of neural networks, unsupervised learning. The student will learn some current trends in machine learning research and will be able to explore advanced literature in the area. The course is thought as an introduction to research in the field of Machine Learning.

Program in pills

Advanced topics in bayesian machine learning, variational inference, theory of neural networks, unsupervised learning

Area

Machine Learning and Artificial Intelligence

Curriculum Foundations
TAF Type

D

Curriculum Industry
TAF Type

D

Curriculum Health
TAF Type

Curriculum Economy
TAF Type

D

SSD

INF/01

ECTS

6

Semester

1

Lecturers

SISSA data science group