Introduction to Machine Learning

Universidad Politécnica de Madrid
LEVEL
Bachelor
TYPE
Course
MODES
-
LANGUAGE
-
ECTS
30
PERIOD
01/09/2023 to 31/01/2023

Course Description

The course is focused on introducing the basic concepts related to machine learning. As it is intended to provide an introduction, during the first part of the course the fundamentals related to the development of machine learning algorithms and some use-cases will be explained. The course approach is eminently practical and is based on a Neural Compute Stick module especially devoted to the development of neural networks for computer vision. The methodology of the course is project-based. The course is divided in two parts: In the first part, basic machine learning concepts will be introduced. Specifically, the fundamental ideas of neural networks will be reviewed. In addition, groups of students will be established to collaboratively review different parts of the project proposal. The results will be shared with the student colleagues in a presentation. The second part of the course will be focused on the project proposal. Besides a presentation, students are required to write a report of achieved results.

Subject area

Digital communications IA electronics

Educational-info

ECTS

30

Validation mode

Check in learning guide in URL column

Organizer

Partner

Universidad Politécnica de Madrid

Faculty

School of Telecommunications and System Engineering

Department

Telematic and Electronic Engineering

Contact or registration links