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Mar 29, 2024
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COSC 667 - Machine Learning and Data Mining Introduction to the theory and practice of automated data discovery and inference over large data sets. Students will implement various automated learning algorithms and learn the impact of inductive bias, overfitting and data representation on these algorithms. Applications covered include information retrieval, genetic sequencing and Web based mining.
Credit Hours: 3 hrs Grade Mode: Normal (A-F)
Prerequisite(s): , and (COSC 471 or )
Notes - Students who do not meet prerequisites may request department permission to enroll in the course, enrollment not guaranteed.
Last Updated: Links 05/2011
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