## undergraduate machine learning 8: Inference in Bayesian networks and dynamic programming

Inference for Bayesian networks, aka probabilitistic graphical models. Dynamic programming. The slides are available here:…

Inference for Bayesian networks, aka probabilitistic graphical models. Dynamic programming. The slides are available here:…

This talk will provide a quick intro to Bayesian Deep Learning from a physicists perspective.…

Try my new interactive online course “Fundamentals of Bayesian Data Analysis in R” over at…

I use pictures to illustrate the mechanics of “Bayes’ rule,” a mathematical theorem about how…

Bayes’ theorem explained with examples and implications for life. Check out Audible: http://ve42.co/audible Support Veritasium…

Part of the End-to-End Machine Learning School course library at http://e2eml.school A walk through a…

Zoubin Ghahramani (University of Cambridge) — Bayesian Deep Learning Workshop NIPS 2016 December 10, 2016…

Panelists: Max Welling Ryan Adams Jose Miguel Hernandez Lobato Ian Goodfellow Shakir Mohamed Moderator: Neil…