Winter Term 2020/21

[Winter Term 2020/21]

Master of Science in Economics:

22-30.103 Machine Learning Methods in Economics, Download Syllabus (in English)

Machine learning (ML) has become a buzzword of our time. With the amounts of data available growing exponentially, there is an increased demand to make use of all this information. In this course we take a look at the main methods of supervised and unsupervised learning from an economist's point of view. In particular, we will (i) learn about the most widely-used ML techniques such as variance-reduction techniques, neural networks and random forests, (ii) apply them to real-word data, (iii) discuss how ML-based prediction works differently from econometric inference.

The course takes place online via OpenOLAT. Further information available on Hamburg University's STiNE System.