CMPS218: Foundations of Data Science

Examines the mathematical and algorithmic foundations of data science including high dimensional data, probabilistic inequalities, dimensionality reduction, correlation detection, streaming algorithms, and clustering. Prerequisite(s): course 201. Enrollment is restricted to graduate students.

5 credits

Year	Fall	Winter	Spring	Summer

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