ML and Epidemiology with Elaine Nsoesie - #396

What this episode covers

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to address global health issues, including infectious disease surveillance, and tracking search data for changes in health behavior in African countries. We also discuss COVID-19 epidemiology and the importance of recognizing how the disease is affecting people of different races and economic backgrounds.

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Frequently Asked Questions

How long is this episode of The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

This episode is 46 minutes long.

When was this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode published?

This episode was published on July 30, 2020.

What is this episode about?

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to address global health issues, including infectious...

Can I download this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode?

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