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.
Unsupervised Learning
Learning Goals
Program in pills
Dimensionality Reduction methods, Intrinsic dimension estimation methods, Density Estimation methods, Clustering.
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
Alejandro Rodriguez Garcia