Probabilistic Programming: A Modern Bayesian Workflow || Peadar Coyle
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Published on ● Video Link: https://www.youtube.com/watch?v=7QlKZKbQa6M
280Probabilistic 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
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Tags:
probability
bayesian workflow
probabilistic programming