Computational Learning Theory and Machine Learning for Understanding Cells

Talking Machines

Episode | Podcast

Date: Thu, 19 May 2016 14:10:00 GMT

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.<p>See <a href="https://omnystudio.com/listener">omnystudio.com/listener</a> for privacy information.<br /><hr /><p style="color: grey; font-size: 0.75em;"> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer" style="color: grey;" target="_blank">acast.com/privacy</a> for more information.</p>