Speaker
Prof.
Andrea De Simone
(sissa)
Description
I introduce the basic concepts of unsupervised learning,
highlighting the differences with supervised learning.
The focus will be on three of the main tasks addressed
by unsupervised learning: cluster analysis, anomaly detection and
dimensional reduction.
For each of them, I describe the problem in general terms,
the ways to approach it, and some of the most popular
algorithms to solve it.
Primary author
Prof.
Andrea De Simone
(sissa)
