This seminar will be structured around working on project topics in the field of Data Management in Machine Learning Systems. The students can work in groups of 2 to develop a project idea, implement, and evaluate it. At the end of the course, the students should present their findings and hand in a written report on their topic. We offer the possibility to publish the project results at a topic-related conference.
In this course, the students will have the opportunity to prepare discussion sessions on the state-of-the-art research in machine learning systems. This includes studying a research paper in detail, presenting it in front of the group, introducing valuable insights, and leading the following discussion. To be adequately prepared for this, we will beforehand discuss the best practices for reading, writing and presenting scientific papers. Ideally, the papers that will be presented in our sessions would cover the related work of the chosen project topics. Every week, each student will need to summarize one of the presented papers in a one-pager.