Machine Learning and Data Science for Economists

 

February 26-27, 2020

2 days, 8:30 AM – 4:30 PM
Capital Hilton Hotel
Washington, DC

This course aims to speak to the value of using methods from machine learning and data science for the applied business economist.  More course information

Registration:

NABE Member: $1,600

U.S. Government Employee: $1,675

Non-Member: $1,750

To be eligible for a refund less $50 fee, registration cancellation must be received in writing by January 22, 2020.  Questions? Please contact NABE at [email protected] or phone 202-463-6223.

REGISTER HERE

OR

and fax to (202) 463-6239 or email to [email protected]. Please note: a $25 processing fee will be added to registrations not completed online.

About the Instructor:

Brian Quistorff is an Economist in the Office of the Chief Economist in the AI + Research division of Microsoft. This group combines Economists with traditional Data Scientists to address difficult challenges facing Microsoft. He has worked across many products groups, including Office and Gaming, and on external engagements, including with the World Bank. He specializes in embedding Machine Learning into existing Econometric methods to both improve the quality of estimation/causal inference and to save time/reduce errors in model selection. He also works to open source generic tools to benefit the broader analytics community. He holds a PhD in Economics from the University of Maryland, a MA of Economics from the University of British Columbia, and a BS in Computer Science from Stanford University.