Talking Machines

Computational Learning Theory and Machine Learning for Understanding Cells

Talking Machines

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. See omnystudio.com/listener for privacy information.

Next Episodes

Talking Machines

Sparse Coding and MADBITS @ Talking Machines

📆 2016-05-05 19:08 / 00:41:26


Talking Machines

Remembering David MacKay @ Talking Machines

📆 2016-04-21 14:12 / 00:53:16


Talking Machines

Machine Learning and Society @ Talking Machines

📆 2016-04-08 05:13 / 00:48:27


Talking Machines

Software and Statistics for Machine Learning @ Talking Machines

📆 2016-03-24 13:15 / 00:39:08