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.

Forthcoming . Past . Next

PSC In The News

RSS Feed icon

Smock talks data with Cadillac News: fewer people getting married in U.S., Wexford County

More News

Highlights

National Study of Caregiving (NSOC) Extended

Fabian Pfeffer receives Doris Entwisle Early Career Award from American Sociological Association

More Highlights


Connect with PSC follow PSC on Twitter Like PSC on Facebook