Probabilistic Programming 101

Probabilistic programming has become an increasingly popular approach for building models that capture the uncertainty inherent in many real-world applications. By incorporating probabilistic models into software systems, decision-makers can better understand the range of possible outcomes, identify areas of risk and opportunity, and make more informed decisions. In this hands-on workshop, we will explore the fundamentals of probabilistic programming and demonstrate its value in the context of real-world applications. We will introduce the key concepts and tools needed to build and deploy probabilistic models, including Numpyro, a powerful probabilistic programming framework based on Python.