About this episode
ICYMI, I'll be in London next week, for a live episode of the Learning Bayesian Statistics podcast ? Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification — not just in theory, but in the messy, practical reality of building models that are supposed to work in the real world.?? Get your tickets!Some of the questions we’ll unpack:? Why is it so hard to model uncertainty reliably??? How do overconfident models break things in production?? What tools and frameworks help today?? What do we need to rethink if we want robust ML over the next decade?Joining me on stage: the brilliant Mélodie Monod, Yingzhen Li and François-Xavier Briol -- researchers doing cutting-edge work on these questions, across Bayesian methods, statistical learning, and real-world ML deployment.A huge thank you to Oliver Ratmann for setting this up!? Imperial-X, White City Campus (Room LRT 608)?? June 24, 11:30–13:00?? Doors open at 11:30 — we start at noon sharpCome say hi, ask hard questions, and be part of the recording.?? Get your tickets!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, E
