Data science, big data, artificial intelligence, machine learning… they’re all the rage. In this podcast, Jessi Cisewski-Kehe and Susan Wang, 2 statisticians, give you a perspective on what’s happening in the realm of all things data. Random bantering included. Support this podcast: https://anchor.fm/databytes/support
In part 2 of this saga on extreme classification, we get into the weeds on how MACH is able to magically handle such massive classification problems. ...
In this episode, Dr. Derek Feng drops by to chat about a recent paper on a divide-and-conquer approach (Merged-Averaged Classifiers via Hashing) to ma...
We've long heard about the waves that statistics has made in baseball. But what about soccer? In this episode, we summarize a few applications of stat...
Domoic acid has plagued shellfish and other wildlife along the Pacific coastline in recent years. Testing for domoic acid concentration in crabs on a ...
In this episode, we discuss how two statisticians used data from BoardGameGeek.com to put together their own board game recommendation engine, specifi...
In this episode, Dr. Derek Feng discusses the general issue of data privacy in the age of big data, including topics of differential privacy and feder...
We sit down with Dr. Jon Krohn to chat about his work as a Chief Data Scientist at untapt, his newly published bestseller "Deep Learning Illustrated",...
In this episode, Professor Albert Y. Kim of Smith College describes his post-PhD journey, which included a stint at Google Adwords before academic pos...
Dr. Derek Feng joins us again to discuss the two metrics by which we align all statistical/machine learning methods -- interpretability versus predict...
Guest Dylan O'Connell joins us today to talk about a recent surprising, but legitimate Democratic primary poll result done by Monmouth University. We ...