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| CSCI 460 - Machine Learning (3). |
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Description: This course provides a general survey of machine learning methods, which includes supervised, unsupervised, and reinforcement learning.
Prerequisite: QMTH205 or MATH 341; C- or better in CSCI271.
Notes: Offered in spring.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study/Research, Lecture Computing and Info Sciences Department Prerequisites: Prereq for CSCI 460 General Requirements: Course or Test: CSCI 271 Minimum Grade of C- May not be taken concurrently. and Course or Test: QMTH 205 Minimum Grade of D- May not be taken concurrently. or Course or Test: MATH 341 Minimum Grade of D- May not be taken concurrently. |
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