https://lnkd.in/dfgGHXAm Join us on the 18.12.2024, 18:00-21:00 We will explore two complementary paradigms: probabilistic programming, which manages uncertainty and facilitates statistical inference, and knowledge graphs, which provide structured representations of entities and their relationships — together enabling more effective reasoning and decision-making where conventional methods fall short. - Introduction to Probabilistic Programming: Nathanael Nußbaumer (IPA Lab, TU Wien - supervised by Jürgen Cito) - Introduction to Knowledge Graphs: Alexander Rinsche (KG Lab, TU Wien - supervised by Emanuel Sallinger) - Discussions & Games
