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Talking Machines: Developing effective medicine by predicting molecular activity, with George Dahl
In episode nine we talk with George Dahl, of the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defended his thesis at the end of March 2015. (Congrats George!) We learn about how networks and graphs can help us understand latent properties of relationships, and we take a listener question about just how you find the right algorithm to solve a problem (Spoiler: start simple.)
tags: Algorithm AI-Cognition, c-Health-Medicine, Deep Learning, machine learning, podcast, University of Toronto
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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