585: PyMC for Bayesian Statistics in Python

In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "585: PyMC for Bayesian Statistics in Python" was published on June 21, 2022 and runs 86 minutes.

June 21, 2022 ·86m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach. In this episode you will learn: What Bayesian statistics is [7:30] Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20] How PyMC was developed [20:41] Commercial applications of Bayesian stats [43:07] How to build a successful company culture [1:03:14] What Thomas looks for when hiring [1:11:13] Thomas’s top resources for learning Bayesian stats yourself [1:13:57] Additional materials: www.superdatascience.com/585

Episode Description