Events for UCF Researchers and the UCF Research Community
In this workshop, we will discuss probabilistic programming in Python. We'll first go over the basics of and motivations behind probabilistic programming. After this brief review, we will learn how to use Python probabilistic programming libraries to build example statistical models and inference pipelines. Pre-requisites: Attendees should be familiar with Python and Bayesian data analysis. Presented by David Wright.
Office of Research