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Machine Learning: Uncovering Hidden Structure in Data

Social Science Matrix,
820 Barrows Hall
Berkeley, CA 94720

Presented as part of the ICPSR Summer Program in Quantitative Methods of Social Research, this course covers both supervised and unsupervised machine learning methods, but will place special emphasis on the (often) underappreciated suite of unsupervised learning tools. These methods are more exploratory in nature, and include cluster analysis, mixture modeling, principal and independent component analysis, manifold learning and multidimensional scaling, self-organizing maps, factor analysis and structural equation modeling, and other latent variable models.