{{page>:defs}} {{tag>:machine_learning course}} ====== Foundation of Machine Learning ====== ===== Program of the course ===== * **Where?** PC 40 * **When?** Sept 2022-Dec 2022 ^ PC ^ Doc ^ Additional Links | | | 1 | {{:world:cours:pc1.pdf|PC1}} | [[world:leaveoneout|Leave One Out Cross Validation (LOOCV) and Cook's distance]] | | | 2 | {{:world:cours:pc2.pdf|PC2}} | [[world:max| A useful result on maximisation]] | | | 3 | | [[world:kkt|KKT]] | | | 4 | {{:world:cours:pc4.pdf|PC4}} | | | | 5 | Computer session | {{ :world:cours:tpfondmachlearn.pdf }} | | | 6 | {{:world:cours:pc6.pdf|PC6}} | [[world:partition|A useful result for the consistency of Decision Trees]], [[world:useful-bounds|Max-bounds for the normal distribution.]] | | | 7 | {{:world:cours:pc7.pdf|PC7}} | {{:world:cours:pc7cor.pdf|Handwritten notes on the solutions of PC7}} [[world:pca|All to be known about pca]] | | | 8 | {{:world:cours:pc8.pdf|PC8}} | [[world:logdet|Some properties on the determinant of symmetric positive matrices]] | | | 9 | {{:world:cours:xgboost.pdf|xgboost}} | Many interesting videos can be found on [[https://statquest.org/video-index/|statquest]]. | | ===== Contact ===== ^ name ^ email adresses ^ | Randal Douc | randal.douc **At** polytechnique.edu | ~~DISCUSSION~~