Team
- Bernd Bischl holds the chair of Statistical Learning and Data Science at the Department of Statistics at the Ludwig-Maximilians-University Munich and contributed to most chapters of the lecture.
- Marius Lindauer is professor of machine learning at the Leibniz University of Hannover and contributed to several chapters of the lecture in various ways.
- Marvin Wright is professor of machine learning in statistics, leads a research group on interpretable machine learning at BIPS and contributed to several slides and videos.
- Giuseppe Casalicchio is a Postdoc at Bernd’s group and contributed to most chapters of the lecture.
- Susanne Dandl is a PhD at Bernd’s group and contributed to the slides and exercises.
- Fiona Katharina Ewald is a PhD at Bernd’s group and contributed to the slides, exercises and the website.
- Timo Freiesleben is a researcher at the Machine Learning in Science Cluster at the University of Tübingen and contributed to the slides.
- Julia Herbinger is a PhD at Bernd’s group and contributed to the slides.
- Gunnar König is a PhD at Bernd’s group and contributed to the slides, exercises and code demos.
- Christian Scholbeck is a PhD at Bernd’s group and contributed to the slides.
Student Assistants
- Jakob Becker
Former team members
Dr. Christoph Molnar is a former PhD at Bernd’s group and contributed to the slides.
Contributors welcome
If you would like to contribute, please get in touch and read our contributing guidelines
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
We are developing the course on GitHub
We would appreciate if you contact us in case you are re-using our course. Knowing this helps us to keep the project alive. Thank you!