Workshop Description: 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.

Registration is limited to 30 persons.
Registration open Feb. 15 9am
Participation Limited to Faculty, Staff, Postdoctoral Fellows and Graduate Students