Data Science Curation: Recent Episodes

Various Artists

A random curation of podcast episodes covering data science and AI.

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Hilary and Roger ring in the new year with a discussion of Theranos and the pitfalls of diagnostic testing, Spotify's Discover Weekly playlist generation algorithm (and the need for human product managers), and of course, a little Star Wars. Also, Hilary and Roger each give some "free advertising" to something interesting that they think other people should know about.

Show Notes:

Gosset Icterometer (http://goo.gl/JDk6ni)

Entertainment medicine

Spotify's Discover Weekly (http://goo.gl/enzFeR)

Variance Explained (http://varianceexplained.org)

What3Words (http://what3words.com)

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In episode fifteen we talk with Max Welling, of the University of Amsterdam and University of California Irvine. We talk with him about his work with extremely large data and big business and machine learning. Max was program co-chair for NIPS in 2013 when Mark Zuckerberg visited the conference, an event which Max wrote very thoughtfully about. We also take a listener question about the relationship between machine learning and artificial intelligence. Plus, we get an introduction to change point detection. For more on change point detection check out the work of Paul Fearnhead of Lancaster University. Ryan also has a paper on the topic from way back when.

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In episode fourteen we talk with Nando de Freitas. He’s a professor of Computer Science at the University of Oxford and a senior staff research scientist Google DeepMind. Right now he’s focusing on solving intelligence. (No biggie) Ryan introduces us to anchor words and how they can help us expand our ability to explore topic models. Plus, we take a question about the fundamentals of tackling a problem with machine learning.