This course is taught in English.
The course introduces basic principles and methods in statistical learning, classification and prediction. Topics that will be covered include regression, classification analysis, model assessment and selection, regularization methods, tree-based methods, vector machines, basics of neural networks, etc.
Main course literature: "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" 2nd Ed. by Hastie, Tibshirani & Friedman, Springer 2009
Main teachers: Chun-Biu Li, Sebastian Rosengren