Computational Learning Theory and Machine Learning for Understanding Cells
Podcast |
Talking Machines
Media Type |
audio
Categories Via RSS |
News
Tech News
Technology
Publication Date |
May 19, 2016
Episode Duration |
00:40:47
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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