An Intro to Machine Learning for Social Scientists

a Workshop

Friday, 3/16/2018, 9:00 am to 5:00 pm.   ARCHIVED EVENT

Location: Weiser Hall, room 747

LSA's Computational Social Science (CSS) Initiative is offering a Winter 2018 series of methods workshops designed to provide introductions to important CSS-related models and techniques, especially for social scientists.

The second of the three CSS Methods Workshops Winter Series is:

AN INTRODUCTION TO MACHINE LEARNING FOR SOCIAL SCIENTISTS

Taught by Jake Hoffman, Microsoft Research, NYC

This workshop will introduce participants to key ideas from machine learning, with a focus on how predictive modeling can be used to advance social science research. We will discuss how to fit and evaluate models so as to adequately balance explanatory and predictive power, covering concepts such as overfitting, cross-validation, and regularization. Participants will spend time working through examples in R.

Friday, March 16, 9am to 5 pm. Weiser Hall, #747.

Lunch provided. Registration required.

CSS Winter Series Workshops

Register for Winter CSS Workshops

Weiser Hall

Forthcoming Events

PSC In The News

RSS Feed icon

Geronimus' research featured in the National Geographic Magazine

Miller's NBER paper quoted in New York Times

More News

Highlights

Special issue to commemorate 50 years of PSID

Postdoctoral Fellowship NIA/NICHD - Call for Applications

More Highlights


Connect with PSC follow PSC on Twitter Like PSC on Facebook