CS 5540 A (CRN: 13204)
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 both CS 5540 and CS 3540. Prerequisites: Knowledge of statistics as from STAT 2510, knowledge of linear algebra as from MATH 2522 or MATH 2544; Graduate student.
Notes
Prereqs enforced by the system: STAT 2510 or STAT 5510; MATH 2522 or MATH 2544; Co-located with CS 3540; Total combined enrollment: 40
Syllabus Unavailable
Please contact the instructor for information about this course.
Important Dates
| 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
CS 5540 A is closed to new enrollment.
Fill out the form fields and you will be notified when the course is updated with details for next term. What can you do while you wait? Get your application started now by completing our pre-registration form.