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COMP.5450 Machine Learning (91.545)
Description
This introductory course provides an overview of machine learning techniques used in data mining and pattern recognition applications. Topics include:
- foundations of machine learning, including statistical and structural methods
- feature discovery and selection
- parametric and non-parametric classification
- supervised and unsupervised learning
- use of contextual evidence
- clustering
- recognition with strings
- small sample-size problems and applications to large datasets
Course Details
- Id:
- Credits: 3-3
Prerequisites and Corequisites
Course prerequisites and corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment.
Enrollment Requirements
For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.
