Sources for the Advanced Machine Learning course for DSBA students.
Lecturer: Paul Dubois (p.dubois@centralesupelec.fr)
TA: Vuk Ignjatovic (vuk.ignjatovic@centralesupelec.fr)
Exam: Students must submit an individual project report. The report should be ~5 pages long on the topic of their choice. The project must involve at least one of the techniques seen during this course. Here are some suggestions for datasets; Feel free to use another one of your choice.
- Session 1:
- Session 2:
- Session 3:
- Slides (.pptx)
- Slides - interactive (same lecture, with sliders for C, γ, ε and the kernel)
- Slides bis (.pptx)
- Slides bis - interactive (same lecture, with sliders for depth, max_features, M, η, λ and γ)
- Session 4:
- Slides (.pptx)
- Slides - interactive (same lecture, with sliders for K, the linkage and the cut, ε, MinPts and C_min)