Bayesian foundations
Episode #239,
published Sat, Nov 23, 2019, recorded Thu, Oct 10, 2019
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In this episode, we'll dive into one of the foundations of modern data science, Bayesian algorithms, and thinking. Join me along with guest Max Sklar as we look at the algorithmic side of data science.
Links from the show
Links from the show
Max on Twitter: @maxsklar
Max's podcast on Bayesian Thinking: localmaxradio.com
Bayes Theorm: wikipedia.org
Simple MCMC sampling with Python: github.com
PyMC3 package - Probabilistic Programming in Python: pymc.io
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Max's podcast on Bayesian Thinking: localmaxradio.com
Bayes Theorm: wikipedia.org
Simple MCMC sampling with Python: github.com
PyMC3 package - Probabilistic Programming in Python: pymc.io
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
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