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.
Advanced Topics in Machine Learning
Learning Goals
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
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
SISSA data science group