CS 3540 A (CRN: 12532)
Computer Science: Machine Learning (A)
3 credit hours
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About CS 3540 A
Introduction to machine learning algorithms, theory, and implementation, including supervised and unsupervised learning; topics typically include linear and logistic regression, learning theory, support vector machines, decision trees, backpropagation artificial neural networks, and an introduction to deep learning. Includes a team-based project. Credit not awarded for both CS 3540 and CS 5540. Prerequisites: STAT 2510 or STAT 5510; MATH 2522 or MATH 2544.
Notes
Prereqs enforced by the system: STAT 2510 or 5510; MATH 2522 or 2544; Co-located with CS 5540; Total combined enrollment: 40; Open to Degree and PACE students
Syllabus Unavailable
Please contact the instructor for information about this course.
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Resources
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