Fri, 30 December 2016
We close out 2016 with a discussion of a basic interview question which might get asked when applying for a data science job. Specifically, how a library might build a model to predict if a book will be returned late or not.
Direct download: the-library-problem.mp3
Category:general -- posted at: 8:07am PDT
Fri, 23 December 2016
Today's episode is a reading of Isaac Asimov's Franchise. As mentioned on the show, this is just a work of fiction to be enjoyed and not in any way some obfuscated political statement. Enjoy, and happy holidays!
Direct download: 2016-holiday-special.mp3
Category:general -- posted at: 8:00am PDT
Fri, 16 December 2016
Classically, entropy is a measure of disorder in a system. From a statistical perspective, it is more useful to say it's a measure of the unpredictability of the system. In this episode we discuss how information reduces the entropy in deciding whether or not Yoshi the parrot will like a new chew toy. A few other everyday examples help us examine why entropy is a nice metric for constructing a decision tree.
Direct download: entropy.mp3
Category:general -- posted at: 12:23am PDT
Fri, 9 December 2016
Cloud services are now ubiquitous in data science and more broadly in technology as well. This week, I speak to Mark Souza, Tobias Ternström, and Corey Sanders about various aspects of data at scale. We discuss the embedding of R into SQLServer, SQLServer on linux, open source, and a few other cloud topics.
Direct download: ms-connect-conference.mp3
Category:general -- posted at: 8:24am PDT
Fri, 2 December 2016
Today's episode is all about Causal Impact, a technique for estimating the impact of a particular event on a time series. We talk to William Martin about his research into the impact releases have on app and we also chat with Karen Blakemore about a project she helped us build to explore the impact of a Saturday Night Live appearance on a musician's career.
Martin's work culminated in a paper Causal Impact for App Store Analysis. A shorter summary version can be found here. His company helping app developers do this sort of analysis can be found at crestweb.cs.ucl.ac.uk/appredict/.
Direct download: causal-impact.mp3
Category:general -- posted at: 7:56am PDT