Coursebooks

Introduction to machine learning (BA3)

CS-233(a)

Lecturer(s) :

Salzmann Mathieu

Language:

English

Summary

Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.

Content

Keywords

Machine learning, classification, regression, algorithms

Learning Prerequisites

Required courses

Linear algebra

Important concepts to start the course

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Expected student activities

Assessment methods

Supervision

Office hours No
Assistants Yes
Forum Yes
Others Course website

In the programs

Reference week

 MoTuWeThFr
8-9 CM2  INJ218
INM202
9-10   
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Lecture
      Exercise, TP
      Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German