Study programme 2023-2024 | Français | ||
Machine Learning II | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
---|---|---|---|---|
S-INFO-075 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 30 | 30 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
This is an advanced course in machine learning building upon the introductory course (S-INFO-256) and covers a range of cutting-edge and advanced topics. The instruction methodology comprises of a combination of traditional lectures, hands-on lab exercises, and interactive seminar discussions to provide a comprehensive learning experience.
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)
Location of learning activity
Location of assessment