Machine Learning and Data Analysis

This Module is an introduction to machine learning and data analysis. Topics include
  • Bayesian statistics
  • empirical inference
  • linear models for classification and regression
  • linear mixed models
  • generalized linear models
  • kernel methods
  • model evaluation
  • implementation in Matlab and/or R.

module coordinator:

Prof. Dr. Shravan Vasishth

Program Overview