Machine Learning for Social Scientists (POLISCI 355B)
Bonica, A. (PI)
Wu, J. (TA)
Machine learning - the use of algorithms to classify, predict, sort, learn and discover from data - has exploded in use across academic fields, industry, government, and the non-profit sector. This course provides an introduction to machine learning for social scientists. We will introduce state of the art machine learning tools, show how to use those tools in the programming language R, and demonstrate why a social science focus is essential to effectively apply machine learning techniques in social, political, and policy contexts. Applications of the methods will include forecasting social phenomena, evaluating the use of algorithms in public policy, and the analysis of social media and text data. Prerequisite: POLISCI 150A/355A.
Letter or Credit/No Credit
Computational Policy - Electives
Computational Policy Analysis
Hewlett Teaching Center 102