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CS 3540 A (CRN: 12532)

Computer Science: Machine Learning

3 Credit Hours

For crosslists see: CS 5540 A

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.

Important Dates

Note: These dates may not be accurate for select courses during the Summer Session.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

Resources

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