CS 3540 A (CRN: 93749)
Computer Science: Machine Learning (A)
3 credit hours
For crosslists see:
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
Co-located with CS 5540 A and CSYS 5990 A; Cross-listed with CMPE 3990 B; Prereqs enforced by the system: STAT 2510 or 5510, and MATH 2522 or 2544; Total combined enrollment: 45; Open to Degree and PACE students
Syllabus Unavailable
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Resources
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