Name: The Reference Model for COVID-19 attempts to explain US data
Start: 2022-06-18T15:00:00-04:00
End: 2022-06-18T16:30:00-04:00

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](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/](https://coiled.io/how-dask-helped-model-diseases-and-specifically-covid-19/)

Kevin Kho

Orlando Machine Learning and Data Science

Technology

Deep Learning

Artificial Intelligence

Python

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Science

Programming in R

Apache Spark

Data Science using Python

The Reference Model for COVID-19 attempts to explain US data

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The Reference Model for COVID-19 attempts to explain US data

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