Chris Harland is a Data Scientist at Microsoft working on problems in Bing search, Windows, Xbox, Office, and MSN. He holds a PhD in Physics from the University of Oregon and has worked in a wide variety of fields spanning elementary science education, cutting edge biophysical research, and recommendation/personalization engines. Chris is currently working on minimum viable product machine learning solutions, probabilistic models, and experimentation.
Ever since Chris started using Bayesian methods on a semi-regular basis the frequency with which he uses the phrase “well, maybe” in conversation with colleagues has increased ten fold. His colleagues have yet to forgive Bayes for this.
Saturday 10:40 a.m.–11:20 a.m. in Helens/ Rainier