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Matthew Davis — Bringing Genetic Insights to Everyone

Gradient Dissent: Conversations on AI

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How Do You Like Formulate a Machine Learning Problem?

diagnostics in general has this problem of no ground truth like people people die of symptoms on hospital beds and their doctors don't actually know why they died right. We have a stronger belief about the causality so you can take a labeled dataset and say like these people were diagnosed and they had that variant and I'll make a model that can predict that outcome with a supervised learning method but you're not actually dealing with ground truth. So if you want to try and think of it as belief then you can go down there like Bayesian probabilistic graphical model causality jude pro explainable AI path.

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