The Art Of The Algorithm: Machine Learning In Environmental Health Research, With Nicole Kleinstreuer EHP: The Researcher's Perspective podcast

Content provided by EHP: The Researcher's Perspective. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EHP: The Researcher's Perspective or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

EHP: The Researcher's Perspective »
The Art of the Algorithm: Machine Learning in Environmental Health Research, with Nicole Kleinstreuer

5+ y ago 13:56

MP3•Episode home

We live in a time when investigators have overwhelming amounts of health-related data at their fingertips. In this podcast, Nicole Kleinstreuer explains how environmental health scientists are using machine learning to make sense of the information in those data—for example, predicting toxicological end points based on large curated data sets. But even as machine learning advances, researchers are working to set realistic expectations and performance thresholds for these new methods. Visit the podcast webpage to download the full transcript of this podcast.

59 episodes

#Science #Environmental #Raleigh #Natural Sciences #EHP The Researchers Perspective #Health and Well-Being