Statistical Learning HT23

This course is taught in English.

The course introduces basic principles and methods in statistical learning, classification, prediction and validation. Topics that will be covered include regression, classification analysis, model assessment and selection, regularization methods, tree-based methods, vector machines, etc.

Main course literature:  "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" 2nd Ed. by Hastie, Tibshirani & Friedman, Springer 2009.

Please note that self-enrollment on the course page is not the same as course registration in Ladok.