Probabilistic Programming: A Modern Bayesian Workflow || Peadar Coyle

Probabilistic Programming is a new paradigm enabling a better understanding of uncertainty. I introduce a modern Bayesian workflow and explanation of Hamiltonian Monte Carlo – how it fails and how you debug it. EVENT: PyData London Meetup #48 SPEAKER: Peadar Coyle PERMISSIONS: PyData Organizer provided Coding Tech with the permission to republish this video. CREDITS: Original video source: https://www.youtube.com/watch?v=0kRytJZcHVw https://www.youtube.com/watch?v=7QlKZKbQa6M