news    views    podcast    learn    |    about    contribute     republish    
Share this article: facebook . twitter . linkedin . reddit

Talking Machines: Interdisciplinary data, with David Blei

Talking Machines

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.

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

comments powered by Disqus


Using Natural Language in Human-Robot Collaboration
November 11, 2019

Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign