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