Bayesian Machine LearningMS-ADS

Interactive demos

For Bayesian Machine Learning with Generative AI Applications, MS in Applied Data Science, The University of Chicago. Each demo runs in your browser, with nothing to install.

Monte Carlo · the posterior predictive Back to Our Evil World Draw θ from the posterior Beta(3, 9), then the next 10 days from Bin(10, θ); again, and again, and watch the histogram settle on the exact answer. Markov chain Monte Carlo · the Metropolis algorithm Metropolis on Two Humps Propose, then accept or reject, one step at a time or five thousand at speed, with the proposal's width as the knob: too narrow and the walk crawls, too wide and it rarely moves.