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Chris Fonnesbeck - Probabilistic Programming
Manage episode 242557391 series 2546445
Content provided by Thomas Wiecki. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Wiecki or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics.
In this episode I talk to Chris Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and what the current status of PyMC4 is.
We then dive more into his background and how he moved from marine biology to become a data scientist in sports analytics and the lessons he learned along the way.
Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib.
If you would like to support the podcast go to: https://patreon.com/twiecki
Follow Chris on Twitter: https://twitter.com/fonnesbeck
5 episodes
Share
Manage episode 242557391 series 2546445
Content provided by Thomas Wiecki. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thomas Wiecki or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics.
In this episode I talk to Chris Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and what the current status of PyMC4 is.
We then dive more into his background and how he moved from marine biology to become a data scientist in sports analytics and the lessons he learned along the way.
Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib.
If you would like to support the podcast go to: https://patreon.com/twiecki
Follow Chris on Twitter: https://twitter.com/fonnesbeck
5 episodes
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