Machine Learning and Data Science for Economists

 

November 6-7, 2019 

2 days, 8:30 AM – 4:30 PM
Hyatt Regency
Seattle, WA

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 Details

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 October 2, 2019.  Questions? Please contact NABE at nabe@nabe.com or phone 202-463-6223.


REGISTER ONLINE

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and scan/email to nabe@nabe.com or fax 202-463-6239. Registration by email/fax includes a $25 processing fee.  Save $25 by registering online! 

Course Location:

Hyatt Regency Seattle
808 Howell Street
Seattle, WA 98101

Travel Information:

NABE has secured a block of discounted rooms at the hotel at the rate of $199/night.  Attendees can make reservations by using this link.  Attendees can also book by calling 206-973-1234 and mentioning the group code G-NABE.

Rooms are available until Wednesday, October 9, or until the block reaches capacity, whichever comes first.



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.