Talking Machines: Interdisciplinary data, with David Blei

by Talking Machines

07 May 2015

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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.

tags: AI, Algorithm AI-Cognition, c-Research-Innovation, Deep Learning, machine learning, podcast

Talking Machines is your window into the world of machine learning.

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