Three assignments and a final presentation have been done:
- Gaussian Processes simulation and prediction (Folder HW_01)
- Kernel approximation using random Nystroem features (Folder HW_02)
- Manifold learning using unrolling techniques. In this case, we use Difussion Maps (Folder HW_03)
The exams taken during the academic year 2021-2022 by both members of the team (@Ocete and me) can be found in the folder tests