367: Building Data Pipelines for COVID-19 Modeling - podcast episode cover

367: Building Data Pipelines for COVID-19 Modeling

May 20, 20201 hr 18 min
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Episode description

Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter. In this episode you will learn: Sam’s current work and COVID-19 Critical Care Consortium [4:22] The COVID data science pipeline and workflow [12:50] Sam’s second online course [36:22] Bayesian inference [43:06] Sam at DSGO Virtual [53:30] Sam’s work on dark matter [1:01:25] What is Sam reading right now? [1:09:14] Additional materials: www.superdatascience.com/367
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367: Building Data Pipelines for COVID-19 Modeling | Super Data Science: ML & AI Podcast with Jon Krohn - Listen or read transcript on Metacast