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Computational Learning Theory and Machine Learning for Understanding Cells

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Manage episode 180965804 series 1457195
Content provided by Katherine Gorman and Tote Bag Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine Gorman and Tote Bag Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.


Hosted on Acast. See acast.com/privacy for more information.

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110 episodes

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iconShare
 
Manage episode 180965804 series 1457195
Content provided by Katherine Gorman and Tote Bag Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine Gorman and Tote Bag Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

110 episodes

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