SDS 367: Building Data Pipelines for COVID-19 Modeling — with Samuel Hinton
Автор: Super Data Science: ML & AI Podcast with Jon Krohn
Загружено: 2020-05-20
Просмотров: 1876
Описание:
Samuel Hinton joins us 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 course "Data Manipulation in Python" 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: https://www.superdatascience.com/367
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