Supervised learning
Supervised learning
ENSAI - M1 students
ENSAI - M1 students
Introduction to supervised learning, empirical risk minimization, KNN / Naive Bayes / LDA / QDA / CART / Random forests, ROC curves
Machine Learning
Machine Learning
ENSAI - M2 students
ENSAI - M2 students
Empirical risk minimization, Regularization, Convex optimization, Support vector machines, RKHS, Bagging / Boosting / Stacking