Machine Learning Project

This is an unstructured project that allows you to work with us on ML research questions. It is specifically meant for students that are interested in doing a master thesis with us in the next semester. The idea is that you will get familiar with a research direction in this project, read and summarize papers, implement first baselines and do basic evaluations. This will kick-start your master thesis such that you can focus on a specific research question there. 

At the end, you are supposed to give a presentation and hand in a brief report summarizing your findings and insights from the project -- a great exercise before writing a full master thesis with us.

Successfully passing at least one of our master lectures is a must to do this project with us:

• Automated Machine Learning (AutoML) 
• Interpretable Machine Learning (iML)
• Reinforcement Learning (RL)

We further strongly recommend some basic ML/DL lectures:

• Machine Learning
• Deep Learning