An Intro to Machine Learning for Social Scientists
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.