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Statistical Learning and Prediction STAT 452 (3)

An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 302 or STAT 305 or STAT 350 or BUEC 333 or equivalent. Quantitative.

Section Instructor Day/Time Location
D100 Brad McNeney
Tu 10:30 AM – 11:20 AM
Th 9:30 AM – 11:20 AM
AQ 3181, Burnaby
AQ 3181, Burnaby
D101 Tu 8:30 AM – 9:20 AM
AQ 5006, Burnaby
D102 Tu 9:30 AM – 10:20 AM
AQ 5018, Burnaby
D103 Tu 4:30 PM – 5:20 PM
AQ 5006, Burnaby
D104 Tu 5:30 PM – 6:20 PM
AQ 5005, Burnaby
D105 Tu 6:30 PM – 7:20 PM
AQ 5037, Burnaby