An Introduction to Bayesian Belief Networks

Speaker: Joseph L. Hellerstein, eScience Institute, Computer Science & Engineering

Bayesian Belief Networks (BBNs) provide a concise way to represent complex dependencies between random variables and make inferences about them. This talk provides an introduction to BBN’s, including a discussion of a python package for BBN inference. Attendees are encouraged to bring their laptops.

More information on this seminar series available here: https://escience.washington.edu/get-involved/topics-in-data-science-seminar/

This event is open to the public.