Team
Bernd Bischl wrote the initial version of most of the course material and actively develops and extends the material. At the LMU, he often teaches the later parts of the material, so the “Supervised Learning” and “Advanced Machine Learning” lectures.
Ludwig Bothmann joined the team in summer 2020 and actively develops and extends the material. At the LMU, he often teaches “Introduction to Machine Learning” and “Supervised Learning”.
Tobias Pielok is a PhD student in Bernd’s group and contributed to the code demos and exercises; he also presented the code demos at the classes held in spring 2020.
Lisa Wimmer is a PhD student in Bernd’s group and contributed to slides and exercises.
Yawei Li is a PhD student in Bernd’s group and contributed to the slides and exercises of AdvML.
Chris Kolb is a PhD student in Bernd’s group and contributed to the slides and exercises.
Current student assistants
- Ziyu Mu
- Manuel Helmerichs
- Holger Löwe
Alumni
Fabian Scheipl joined the team in fall 2018 and contributed to the slides, videos and code demos.
Daniel Schalk was a PhD at Bernd’s group and organized the second round of the inverted classroom in spring 2019; he also provided the digital platform for videos, quizzes and exercises.
Heidi Seibold joined the team in fall 2019 and has been in charge of the classes held in spring 2020 at LMU Munich and University of Bielefeld.
Christoph Molnar was a PhD at Bernd’s group and organized the first round of the inverted classroom in spring 2018, including the first round of videos.
Jakob Richter created this website using Hugo, some CSS and the hugo-quiz plugin.
Contributors welcome
If you love teaching ML and have free resources available, please consider joining the team and email us now! (bernd.bischl@stat.uni-muenchen.de or ludwig.bothmann@stat.uni-muenchen.de).
Our contributing guidelines may be found here.
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!