
 Super Data Science: ML & AI Podcast with Jon Krohn
 Super Data Science: ML & AI Podcast with Jon Krohn 585: PyMC for Bayesian Statistics in Python
 Jun 21, 2022 
 Dr. Thomas Wiecki, Core Developer of PyMC, discusses Bayesian statistics, PyMC development, commercial applications, successful company culture, and top resources for learning. Topics include efficiency in model training, hierarchical models, Markov Chain Monte Carlo algorithms, and building a collaborative work environment at PyMC Labs. 
 Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5  6  7  8 
 Intro 
 00:00 • 2min 
 Transition to Summer in Berlin and Bayesian Modeling in Data Science 
 02:06 • 12min 
 Exploring the Advancements and Applications of Bayesian Statistics 
 14:20 • 3min 
 Evolution of PyMC and Bayesian Statistics in Python 
 17:30 • 26min 
 Bayesian Modeling in Online Marketing & George Harrison's Spiritual Influence 
 43:08 • 11min 
 Exploring Markov Chain Monte Carlo Algorithms and Love Triangles 
 54:26 • 8min 
 Building a Collaborative Company Culture at PyMC Labs 
 01:02:50 • 21min 
 Exploring Bayesian Statistics and PyMC Library 
 01:24:17 • 2min 
