Interdisciplinary Data and Helping Humans Be Creative
Talking Machines · Katherine Gorman
May 7, 201534m 17s
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Show Notes
In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent dirichlet allocation, topic models, the PhD program in data that he’s helping to create at Columbia and why exploring data is inherently multidisciplinary. We learn about Markov Chain Monte Carlo and take a listener question about how machine learning can make humans more creative.
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