CM 463 Statistical Learning - ClassificationComputational Mathematics (2009-2010)
Given known group membership, methods which learn from data how to classify objects into the groups are treated. Review of likelihood and posterior based discrimination. Main topics include logistic regression, neural networks, tree-based methods and nearest neighbour methods. Model assessment, training and tuning. [Offered: F]
Prerequisites: CM 361/STAT 341 or (STAT 330 and 340); Not open to General Mathematics students
Notes: (Cross-listed with STAT 441)
Sections For Fall 2009
| Lectures | ||||||||
| Professor | Time | Capacity | Sec | Assoc | Rel 1 | Rel 2 | Location | Code |
| Ghodsi Boushehri, Ali | 12:30-01:20 M T W Th F | 2/10 | 1 | 1 | MC 4042 | 5211 | ||
| Held With: STAT 441 | ||||||||
| Held With: STAT 841 | ||||||||
Sections For Spring 2009
CM 463 is not held in Spring 2009