Statistical Learning and Prediction STAT 652 (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 equivalent. Students with credit for STAT 452 may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Brad McNeney |
Sep 5 – Dec 4, 2017: Tue, 10:30–11:20 a.m.
Sep 5 – Dec 4, 2017: Thu, 9:30–11:20 a.m. |
Burnaby Burnaby |
|
| G101 |
Sep 5 – Dec 4, 2017: Tue, 9:30–10:20 a.m.
|
Burnaby |
|
| G102 |
Sep 5 – Dec 4, 2017: Thu, 11:30 a.m.–12:20 p.m.
|
Burnaby |