Detailed Course Information |
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| CSC 4220 - Data Mining/Machine Learning |
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Prerequisites: MATH 3070 or MATH 3470 or MATH 4470 (5470), MATH 2010, and CSC 2400. Introduction to a solid grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations, including preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Students will also be introduced to latest advances in the field, including data transformations, ensemble learning, massive data sets, multi-instances learning, with an application towards the leading edge of contemporary research.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science Department Prerequisites: Preqreq for CSC 4220 General Requirements: ( Course or Test: MATH 3070 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: MATH 3470 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: MATH 4470 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: MATH 5470 Minimum Grade of D May not be taken concurrently. ) and ( Course or Test: MATH 2010 Minimum Grade of D May not be taken concurrently. ) and ( Course or Test: CSC 2400 Minimum Grade of D May not be taken concurrently. ) |
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