This in-depth, interactive, hands-on module delves into supervised and unsupervised learning, building upon the concepts introduced in the first module. The module reinforces understanding through practical exercises and exploration of real-world AI applications. Participants will be encouraged to engage with a variety of exercises that illuminate the intricacies of these machine learning paradigms.
By the end of this module, students will not only have a more profound theoretical understanding but also be able to visualize how these technologies are applied in industry settings. The module’s composition is crafted to ensure that participants can immediately translate their enhanced knowledge into practice.
When? | 09.10.2025 - 11.10.2025 |
---|---|
Where? | Formation continue Rue de Rome 6, 1700 Fribourg |
speaker | Amir Tabakovic
|
Contact | UniFR - Service de la formation continue Pauline Hofer pauline.hofer@unifr.ch +41 26 300 7338 |
Registration |