Subject:
Computational Mathematics (CM)
Catalog number:
763
Unit weight:
0.50
Meet type:
LEC
Cross-listing(s):
STAT-841
Requisites:
Antireq: CM 463STAT 441
Description:
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.
Topic titles:
N/A
Faculty:
Mathematics (MAT)
Academic level:
GRD
Course ID:
003091
