507: Bayesian Statistics

Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "507: Bayesian Statistics" was published on September 21, 2021 and runs 115 minutes.

September 21, 2021 ·115m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems. In this episode you will learn: Getting Rob on the show [8:12] Stan [9:34] Gradients [18:15] What is Bayesian statistics? [23:05] Multi-modal deep learning [45:20] Stan package [53:46] Applications of Bayesian stats [1:09:47] The day-to-day of a PhD in stats [1:21:56] What does the future hold? [1:42:37] Additional materials: www.superdatascience.com/507

Episode Description

Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems. In this episode you will learn: Getting Rob on the show [8:12] Stan [9:34] Gradients [18:15] What is Bayesian statistics? [23:05] Multi-modal deep learning [45:20] Stan package [53:46] Applications of Bayesian stats [1:09:47] The day-to-day of a PhD in stats [1:21:56] What does the future hold? [1:42:37] Additional materials: www.superdatascience.com/507

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