Introduction to Machine Learning

Learning Goals

Know main kinds of problems which can be tackled with ML and those ones concerning text and natural language. Know main ML techniques in supervised and unsupervised learning. Know design, development, and assessment of a ML system. Retrieve information from scientific publications about ML techniques not explicitly presented in this course.

 

Program in pills

Introduction to Machine Learning; examples and taxonomy; design, development, and assessment of a ML system. Main supervised learning approaches and assessment of the learned model. Introduction to unsupervised learning and cluster analysis. Introduction to text mining and sentiment analysis.

Area

Machine Learning and Artificial Intelligence

Curriculum Foundations
TAF Type

C

Curriculum Industry
TAF Type

C

Curriculum Health
TAF Type

C

Curriculum Economy
TAF Type

C

SSD

ING-INF/05

ECTS

6

Semester

1

Lecturers

Eric Medvet