Lecture and Discussion: Probabilistic Programming – Machine Learning for the Masses?
Wednesday, November 6, 2019, 5pm
Probabilistic programs implement procedures to draw conclusions in the context of big data applications in a mixture of uncertain data and observed behavior. Bayesian networks, a basic model in decision theory, are simple instances of such programs.
Probabilistic programs control autonomous robots and self-propelled cars, serve to predict economic trends, are the key to describing security mechanisms, implement random algorithms, and are increasingly used in artificial intelligence.
In this lecture, Professor Joost-Pieter Katoen, Chair of Computer Science 2 at RWTH, will explain what probabilistic programming is, what applications it has, and why programs are harder to understand and analyze than ordinary software.
|Where?||Lecture Hall AH IV, Computer Science Center |
Ahornstraße 55, 52074 Aachen
|Speaker||Professor Joost-Pieter Katoen, Chair of Computer Science 2 at RWTH|
|Information||In cooperation with RWTH's Department of Computer Science, the Regional Group of the Gesellschaft für Informatik – RIA, the Regional Industrial Club for Computer Science Aachen – REGINA e.V., and the Aachen Group of the The German Association of University Professors and Lecturers – DHV.|