CS 5540 A (CRN: 12951)
Computer Science: Advanced Machine Learning (A)
3 credit hours
For crosslists see:
About CS 5540 A
Provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (linear regression, logistic regression, neural networks, support vector machines, decision tree, ensemble models, random forest); unsupervised learning (clustering, dimensionality reduction, kernel methods); Also introduces deep learning such as convolutional neural networks and discusses recent applications. Credit not awarded for more than one of the following: CSYS 5540, CS 5540, CS 3540. Prerequisites: Knowledge of statistics as from STAT 2510, knowledge of linear algebra as from MATH 2522 or MATH 2544; Graduate student. Cross-listed with: CSYS 5540.
Notes
Prereqs enforced by the system: STAT 2510 or MATH 2522 or MATH 2544; Co-located with CS 3540; Total combined enrollment: 40 System waitlisting enabled for this section.
Syllabus Unavailable
Please contact the department for information about this course.
Important Dates
Note: These dates may change before registration begins.
Courses may be cancelled due to low enrollment. Show your interest by enrolling.
| 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
Remind Me Form
Remind yourself about CS 5540 A.
We'll send you a reminder before Spring 2027 registration begins.