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When & Where
Date: 
Thu, August 27, 2015 - 9:30 AM to 12:00 PM
Fri, August 28, 2015 - 9:30 AM to 12:00 PM
Sat, August 29, 2015 - 9:30 AM to 1:30 PM
Location: 
Institute for Research on Labor and Employment, 2521 Channing Way
Description
Type: 

Registration CLOSED: LECTURES ARE FULL

This mini-course introduces machine learning tools to empirically knowledgeable economists  and other social scientists. It aims to answer frequent questions we have about this material, such as:

1) What value do these tools have without causal inference?

2) How are they different from non-parametric methods? and

3) Are they useful in social science applications?

We will cover both the conceptual underpinnings of machine learning and the mechanics of applying it. A key goal is to lay out a framework that integrates these new tools into existing econometric knowledge.

Put simply, this is my attempt to build the class I wish I had when I was first learning machine learning.

This workshop is being co-hosted by the Center for Labor Economics, D-Lab, and the Institute for Research on Labor and Employment.

Location: IRLE Conference Room, 2521 Channing Way

Registration CLOSED  

 

 

Details
Training Host: 
D-lab Facilitator: 
Jon Stiles