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STAT 457 Statistical Learning II Units: 3.00
Introduction to the theory and application of statistical algorithms. Topics include classification, smoothing, model selection, optimization, sampling, supervised and unsupervised learning. Given jointly with STAT 857.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite (STAT 362/3.0 and [ECON 351/3.0 or STAT 361/3.0]) or permission of the Department.
Offering Faculty: Faculty of Arts and Science