Podknife - SDS 367: Building Data Pipelines for COVID-19 Modeling by Super Data Science

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SDS 367: Building Data Pipelines for COVID-19 Modeling

Podcast |: Super Data Science
Publisher |: Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business
Publication Date |: May 20, 2020
Episode Duration |: 01:17:53

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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