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CS 830 - Machine Learning |
Models of learning; inductive inference; constructive and selective induction; learning from examples; explanation-based learning; machine discovery; grammatical inference; knowledge acquisition; applications. Prior to registering for this course, students should have a background in artificial intelligence comparable to the senior undergraduate level.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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