367: Building Data Pipelines for COVID-19 Modeling
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
Om Podcasten
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.