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Christopher Fonnesbeck   Probabilistic Programming with PyMC3   PyCon 2017
Christopher Fonnesbeck Probabilistic Programming with PyMC3 PyCon 2017
Probabilistic Programming Primer: Introduction to PyMC3
Probabilistic Programming Primer: Introduction to PyMC3
Episode 18: PyMC3 - Open Source Directions hosted By Quansight
Episode 18: PyMC3 - Open Source Directions hosted By Quansight
Nicole Carlson - Turning PyMC3 into scikit learn
Nicole Carlson - Turning PyMC3 into scikit learn
Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck
Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck
Torsten Scholak, Diego Maniloff Intro to Bayesian Machine Learning with PyMC3 and Edward
Torsten Scholak, Diego Maniloff Intro to Bayesian Machine Learning with PyMC3 and Edward
Probabilistic Modeling In Python (And What That Even Means)
Probabilistic Modeling In Python (And What That Even Means)
Evaluating fairness in machine learning with PyMC3 - Oliver Laslett
Evaluating fairness in machine learning with PyMC3 - Oliver Laslett
PyCon.DE 2017 Adrian Seyboldt - An introduction to PyMC3
PyCon.DE 2017 Adrian Seyboldt - An introduction to PyMC3
DSS 20-10-18 SACHIN ABEYWARDANA: PROBABILISTIC PROGRAMMING AND DEEP BAYESIAN NETWORKS
DSS 20-10-18 SACHIN ABEYWARDANA: PROBABILISTIC PROGRAMMING AND DEEP BAYESIAN NETWORKS
Colin Carroll, Karin C. Knudson - Fighting Gerrymandering with PyMC3 - PyCon 2018
Colin Carroll, Karin C. Knudson - Fighting Gerrymandering with PyMC3 - PyCon 2018

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Last Updated: September 29, 2026

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About the speaker: Chris Fonnesbeck is an Associate Professor in the Department of Biostatistics at the Vanderbilt University ... An alternative view of our May 2018 speaker, Chris Fonnesbeck. Apologies for the jerkiness during panning; I need to invest in a ... "Speaker: Christopher Fonnesbeck Bayesian statistics offers robust and flexible methods for PyData New York City 2017 Slides: github.com/parsing- Speakers: Torsten Scholak, Diego Maniloff There has been uprising of PyData London 2018 Machine learning and Adrian Seyboldt I studied Mathematics and Bioinformatics in Bonn and Tübingen and I am a core developer of About the Talk: I will have a quick intro to Bayesian inference before diving deep into Deep Bayesian Nets. I will demonstrate how ... Speakers: Colin Carroll, Karin C. Knudson At the end of 2017, there were seven states with ongoing redistricting litigation. We will ...

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