This course provides a general introduction to data science and machine
learning, covering topics such as statistical learning theory,
supervised learning (parametric and non-parametric), as well as
unsupervised methods. In the tutorial, students will implement methods
in Python and apply them to real data.
- Teacher: Christian Frey
- Teacher: Moritz Große Wentrup
- Teacher: Alexander Markham