MATH 308 Fundamentals of Statistical Learning (3 credits)

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MATH 308 Fundamentals of Statistical Learning (3 credits)

Note: This is the 2021鈥�2022 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Mathematics and Statistics (Faculty of Science)

Overview

Mathematics & Statistics (Sci) : Theory and application of various techniques for the exploration and analysis of multivariate data: principal component analysis, correspondence analysis, and other visualization and dimensionality reduction techniques; supervised and unsupervised learning; linear discriminant analysis, and clustering techniques. Data applications using appropriate software.

Terms: Winter 2022

Instructors: Steele, Russell (Winter)