The Reference Model for COVID-19 attempts to explain US data
Details
The Reference Model attempts to explain COVID-19 data recorded by US states and territories using intelligible and human-comprehensible models. It is the first Multi-Scale Ensemble Model of COVID-19 Driven by Python and High-Performance Computing. The model and recent results will be explored.
Our speaker will be Jacob Barhak. His presentations and work can be found on his website: https://sites.google.com/view/jacob-barhak/home
Related Text:
- Jacob Barhak, The Reference Model is a Multi-Scale Ensemble Model of COVID-19. Self Published Interactive Manuscript. Publication Date: 27-May-2021 http://doi.org/10.34235/b7eaa32b-1a6b-444f-9848-76f83f5a733c
- Jacob Barhak. How Dask Helped Model Diseases and Specifically COVID-19. Blog at Coiled. June 23, 2021 https://coiled.io/how-dask-helped-model-diseases-and-specifically-covid-19/
Machine Learning
Data Science
Python