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| CSC 6230 - Machine Learning |
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Prerequisite: CSC 4220 (5220) or CSC 4240 (5240). Introduction to machine learning techniques, such as decision tree induction, k-nn classifiers, and clustering. Emphasis on supervised learning, including classification techniques, feature selection, and evaluation techniques. Unsupervised and reinforcement learning will also be covered.
3.000 Credit hours 3.000 Lecture hours Levels: Doctoral, Specialist in Education, Graduate, Undergraduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Specialist in Education Graduate Doctoral Prerequisites: Prereq for CSC 6230 General Requirements: ( Course or Test: CSC 4240 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: CSC 5240 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: CSC 4220 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: CSC 5220 Minimum Grade of D May not be taken concurrently. ) |
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