Description
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
- Prerequisite(s): STAT 3553 or STAT 3503 or MATH 3806 , or permission of the School.
Conditions and arrangements
- 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.
Reference text in its original language
Data visualization; knowledge discovery in datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
- 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 and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/STAT/