InhaltThe focus of our research group is on scalable techniques for data management and analytics. Our work targets at the synthesis of conceptual research results with prototypical deployments in different domains. In this seminar we focus on actual research topics includingrepresentation of expert knowledge, applications for cloud monitoring and energy systems, machine learning (ML) techniques for scientific theory building and for solving differential equations, ML models and classification, feature extraction, sample-efficient reinforcement learning, and combining domain knowledge with ML.OrganisatorischesAnmeldung per Mail an sekretariat.boehm@ipd.kit.edu

The students will work under the guidance of the Ph.D. students on state-of-the-art research topics from the area of Data Science, such as (the exact topics will be presented in the Kick-off meeting within the first weeks of the semester