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, and MATH 2522 or 2544; Colocated with CS 5540 A and CSYS 5990 A; Total combined enrollment: 45; Open to Degree and PACE students

Syllabus Unavailable

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Important Dates

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Deadlines
Last Day to Add
Last Day to Drop
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Last Day to Withdraw with 25% Refund
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CS 3540 A is closed to new enrollment.

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