HMMA308 - Apprentissage statistique (2018-2020)

This course is in French, and deals with Machine Learning, mostly supervised learning.

Level set for Lasso Level set for Adaptive Lasso (sqrt) Level set for Adaptive Lasso (log)

Syllabus

syllabus_hmma308.pdf

Projets

Projets_ML.pdf

Cours

  1. Intro Machine Learning: IntroML_slides.pdf

  2. Régression logistique/LDA: RegressionLogistique_slides.pdf

  3. Validation Croisée: CrossValidation_slides.pdf

  4. SVD: SVD_slides.pdf, SVD.ipynb

  5. PCA: PCA_slides.pdf, PCA.ipynb

  6. Ridge: Ridge_slides.pdf, Ridge.ipynb

  7. Arbres : arbres_slides.pdf

  8. Bagging et forêts aléatoires : ForetsAleatoires_slides.pdf

  9. Lasso: Lasso_slides.pdf, Lasso_fr.ipynb, functions_Lasso.py, prox_collection.py

  10. SVM : svm_slides.pdf

  11. Clustering : clustering_slides.pdf

  12. Splines et GAM : Splines_GAM_slides.pdf

TPs

  1. knn_tp.pdf, tp_knn_source.py, tp_knn_script.py,

  1. perceptron_tp.pdf, tp_perceptron_source.py, tp_perceptron_script.py,

  2. arbres_tp.pdf, tp_arbres_source.py

  3. svm_tp.pdf, svm_tp_sources.zip,

  4. clustering_tp.pdf, kmeans.py, gap.py, china.jpg

More resources