Unsupervised Learning

Learning Goals

Learning basic and advanced methods in Unsupervised Machine Learning techniques.Being able to propose explorative methods and further deeper analysis that exploit the structure of the data in order to obtain valuable knowledge.

Program in pills

Dimensionality Reduction methods, Intrinsic dimension estimation methods, Density Estimation methods, Clustering.

Area

Machine Learning and Artificial Intelligence

Curriculum Foundations
TAF Type

C

Curriculum Industry
TAF Type

C

Curriculum Health
TAF Type

B

Curriculum Economy
TAF Type

C

SSD

FIS/07

ECTS

6

Semester

1

Lecturers

Alejandro Rodriguez Garcia