Statistical Machine Learning
Integrated Course

This couse provides an in-depth introduction to the statistical foundations of Machine Learning.

Course Topics

  • Statistical Methods for Machine Learning
  • Refresher of Statistics, Optimization, and Linear algebra
  • Bayesian Decision Theory
  • Probability Density Estimation
  • Non-parametric Models
  • Mixture Models and the EM Algorithm
  • Linear Models for Classification and Regression
  • Foundations of Artificial Neural Networks
  • Statistical Learning Theory
  • Kernel Methods for Classification and Regression

Organization

Course type Integrated Course
Course materials (Moodle) Statistical Machine Learning 2025
Registration and detailed info (TUCan) 20-00-0358-iv – Statistical Machine Learning
Last offered -
Next offering Summer 2025
Lecturer(s) Prof. Dr. Marcus Rohrbach
Assistants Tobias Braun
Exam TBA
CP (Credit Points) 6
Language English
Recommended prerequisites