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 proseminar we focus on fundamental concepts of recent topics including representation of expert knowledge, applications for cloud monitoring and energy systems, machine learning (ML) techniques for solving differential equations, describing results of ML models, feature extraction, sample-efficient reinforcement learning, and combining domain knowledge with ML.Organisatorisches Die Anmeldung erfolgt über https://portal.wiwi.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