Machine Learn Soc. Sci

Catalog description

This course provides an introduction to machine learning (ML) for social sciences and all majors. Topics include (but not limited to): understand ML algorithms, models, and core ML concepts; classify examples with classifiers, and quantify examples with regressors; realistically assess performance of machine learning systems; use feature engineering to smooth rough data into useful forms; chain multiple components into one system and tune its performance; apply machine learning techniques to images and text; connect the core concepts to neural networks and graphical models; leverage from software libraries and other powerful tools; and review case studies in order to investigate cultural bias in machine learning models and software tools.