Description
Introduction to data analytics, including visualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
Prerequisites
- Prerequisite(s): enrolment in the M.Eng. - Engineering Practice program.
Conditions and arrangements
- Prerequisite(s): enrolment in the M.Eng. - Engineering Practice program.
Reference text in its original language
Introduction to data analytics, including visualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
- Prerequisite(s): enrolment in the M.Eng. - Engineering Practice program.
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/grad/courses/ECMP/