Episode #18: PyMC3/4

Featuring PyMC3 Developer: Christopher Fonnesbeck

Episode #18

Air Date 5 April 2019

@12 PM Eastern

We will be joined by Christopher Fonnesbeck, who will tell us about the future of PyMC3/4. PyMC3/4 allows you to write down models using an intuitive syntax to describe a data generating process. Furthermore, you can fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets — or using Gaussian processes to build Bayesian nonparametric models.



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