COMPSS 221

Computing II (Machine Learning)

3 credits · Graduate

Predictive models are a core tool for computational social scientists. This class aims to provide students with a practitioner’s level of understanding of different models and techniques: which methods exist, how they relate to each other, the shortcomings they may have, and their most relevant applications. The focus is on methods which are used in practice in industry, which tend to be off-the-shelf rather than cutting edge, and are often chosen for reliability and ease of use rather than performance.

Prerequisites & course information

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Sources

Course catalogue ↗2026-2027