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Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy
Testing lead in water during the Flint water crisis.
In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Jake Abernethy from the University of Michigan about municipal data and his work on the Flint water crisis.
If you enjoyed this article, you may also want to read:
- Talking Machines: Automatic Translation and t-SNE, with Hal Daume
- Talking Machines: Fantasizing cats and data numbers, with Iain Murray
- Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
- Talking Machines: Machine learning in healthcare and the AlphaGo matches
- Talking Machines: AI safety and the legacy of Bletchley Park, with Nick Patterson
- Talking Machines: Robotics and machine learning music videos, with Michael Littman
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tags: Flint water crisis, machine learning, Talking Machines
Talking Machines
is your window into the world of machine learning.
Talking Machines
is your window into the world of machine learning.
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