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Computational Learning Theory and Machine Learning for Understanding Cells

Computational Learning Theory and Machine Learning for Understanding Cells

Talking Machines · Katherine Gorman

May 19, 201640m 47s

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Show Notes

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.

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