Learning in Google Ads, Machines and People
Seminar: CS: Data Science | October 17 | 4-5 p.m. | 1011 Evans Hall
Niall Cardin, Google
This talk is in two parts, both of which discuss interesting uses of experiments in Google search ads. In part 1 I discuss how we can inject randomness into our system to get causal inference in a machine learning setting. In part 2. I talk about experiment designs to measure how users learn in response to ads on Google.com.