STAT 4601 [0.5 credit] Data Mining I (Honours)
Data visualization; knowledge discovery in datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
Includes: Experiential Learning Activity
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.
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.
Business
Undergraduate Calendar
http://calendar.carleton.ca/undergrad/undergradprograms/business/
...ECON 1002, STAT 2601, and STAT 2602 (or...0 credits) Notes: BUSI 4601 and BUSI 4609...