This course covers machine learning methods, which have become relevant for economic research. Topics introduced in the course include model regularization, natural language processing and machine learning methods for count data, random forests
and causal trees, as well as deep learning. The lectures and tutorials will use
examples from recent academic papers relating to different areas of economic
research. Interactive materials with exercises and answers will be provided on
Moodle.
Programming language: Python
- Trainer/in: Thomas Fackler
- Trainer/in: Nadzeya Laurentsyeva