everything.study
STAT 4601

Data Mining I (Honours)

0.5 credit · Undergraduate

Data visualization; knowledge discovery in datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.

Prerequisites & course information

Prerequisite(s): STAT 3553 or STAT 3503 or MATH 3806 , or permission of the School. Lectures three hours a week, laboratory one hour a week.

Sources