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The State of the Art for Probabilistic Programming - Thomas Wiecki | PyData Global 2021
Thomas Wiecki: The State of the Art for Probabilistic Programming | PyData Global 2022
Thomas Wiecki - Impacting the Bottom Line with Bayesian Decision Making and PyMC3
SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki
Thomas Wiecki - Solving Real-World Business Problems with Bayesian Modeling | PyData London 2022
[POPL 2021] Paradoxes of probabilistic programming (full)
Think Like Git - Eli Sander | PyData Global 2021
Fritz Obermeyer - Probabilistic Programming and Readable Models | PyData Yerevan 2022
Hareem Naveed: Write the Docs! | PyData LA 2019
Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
Ruben Mak - The causal problem of overexposure to repetitive ads: instrument variables and pymc3
![[POPL 2021] Paradoxes of probabilistic programming (full)](https://img.youtube.com/vi/oSII21Tm1zE/hqdefault.jpg)
