The State of the Art for Probabilistic Programming - Thomas Wiecki | PyData Global 2021

Abstract:
Bayesian modeling is currently undergoing a Renaissance. Better and more user-friendly tools, as well as algorithms, allow this technique to be used by more people on larger and more complicated problems. While academia has already applied these powerful tools for research for a while, more and more businesses, frustrated by the empty promises of uninterpretable machine learning, are realizing the impact these more transparent methods can have.

In this session, I will give a state of the art of probabilistic programming followed by a Q&A session.

Bio:
Thomas Wiecki is an author of the PyMC library and founder of PyMC Labs, a Bayesian consultancy solving advanced data science problems. He did his PhD at Brown University building computational models of the brain.

PyData Global 2021
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