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Matthew Davis — Bringing Genetic Insights to Everyone

Gradient Dissent: Conversations on AI

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Using Model Based Machine Learning for Machine Learning

When you see like one of those like CSI TV shows and they're looking at the big bands of DNA that's a very abstract version of the actual physical process. That's where like it's great for machine learning because there's enough structure to that cartoon that you don't have to imagine every possible force vector. You have some constraints but it's uncertain enough that it's not in the company any mechanics so modeling it with uncertainty and then using those indirect observations to to guide your search well.

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