Super Data Science: ML & AI Podcast with Jon Krohn

507: Bayesian Statistics

Sep 21, 2021
Guest
Rob Trangucci
Rob Trangucci, an expert in Bayesian statistics, discusses applying it to real-world problems, the Stan package, multi-modal deep learning, the day-to-day of a PhD in stats, and the future of Bayesian stats.
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Episode notes
1
Intro
00:00 • 3min
2
Weather Conditions and Environmental Impact in La Crosse and Singapore
03:00 • 5min
3
Journey to Becoming a Core Developer on the Stan Project
07:41 • 10min
4
Efficiency and Gradients in C++ for Machine Learning Models
17:48 • 5min
5
Bayesian Statistics vs. Frequentist Statistics
22:58 • 30min
6
Exploring Bayesian Statistics and the Stan Package
53:23 • 4min
7
Bayesian Inference Challenges and Applications in Epidemiology
57:53 • 26min
8
Neuroscience Graduate Program at Oxford and Bayesian Statistics
01:23:28 • 9min
9
Pursuing a PhD in Data Science & Advancements in Technology
01:32:24 • 18min
10
Exploring Bayesian Statistics and PhD in Stats
01:50:28 • 4min