<p>Lecture, three hours. Requisites: courses 210A, 210B, or consent of instructor. Conceptual, mathematical, and computational foundations of machine learning, with special focus on social science applications. Survey of supervised and unsupervised methods, including Naïve Bayes, k-means, logistic regression, decision trees (classification and regression), topic models, and neural networks. Practicalities of implementation on range of data types. S/U or letter grading.</p>

Sociology

Combining rigorous, inclusive pedagogy with opportunities for co-curricular activities—including research, internships, and community engagement—the College provides students with diverse learning experiences that helps them thrive, become critical thinkers, and transform society.

College of Letters and Science

Sociology is the study of the organization, dynamics, and consequences of social life.

General Catalog

Machine Learning for Social Scientists

SOCIOL 208C

4 units