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Modelling Currently Infected Cases of COVID-19 Using H2O Driverless AI
by Erika Kamholz March 30, 2020 AI4Good Explainable AI GLM H2O Driverless AI Healthcare Machine Learning Machine Learning Interpretability Responsible AI Technical Time Series

In response to the wake of the pandemic called COVID-19, H2O.ai organized a panel discussion to cover AI in healthcare, and some best practices to put in place in order to achieve better outcomes. The attendees had many questions that we did not have the time to cover thoroughly throughout the course of that 1-hour […]

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Brain Pattern
Summary of a Responsible Machine Learning Workflow
by Patrick Moran March 20, 2020 Data Science Deep Learning Machine Learning Machine Learning Interpretability Neural Networks Python Responsible AI

A paper resulting from a collaboration between H2O.AI and BLDS, LLC was recently published in a special “Machine Learning with Python” issue of the journal, Information (https://www.mdpi.com/2078-2489/11/3/137). In “A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing,” coauthors, Navdeep Gill, Patrick Hall, Kim Montgomery, and Nicholas Schmidt compare model accuracy […]

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