Chief Scientist, Dstillery
May 15, 2015
As Chief Scientist at Dstillery, Claudia Perlich works to collect about 10 billion user events daily, representing the digital and geo-physical journeys of millions of people on desktops, tablets, and mobile phones. In this lecture, Perlich will explore a number of challenges including privacy-preserving representations, robust high- dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection. Perlich will also touch on a few higher-level lessons and pose the paradox of big data and predictive modeling: You never have the data you need.