Study programme 2022-2023 | Français | ||
Machine Learning I | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
---|---|---|---|---|
S-INFO-256 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais, Français | Anglais, Français | 30 | 30 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
Study of statistical/machine learning algorithms for supervised and unsupervised problems. Study of linear and non-linear models for regression, classification, clustering, and dimensionality reduction.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)