Machine Learning (91.545)

Catalog Search > Computer Related > COMP.5450

Note: This course is not available for the current semester.

Course No: COMP.5450; Last Offered: No Data;

Course Description

This introductory course gives 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.

Prerequisites & Notes

  • Prerequisites: COMP 1020,MATH 3860, MATH 3220
  • Special Notes:
  • Credits: 3;

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