Subject | Catalog Number | Title | Credits |
Applied Computing | 425 | Machine Learning | 3.00 |
Details: Introduction to machine learning and methods, including neural networks and deep learning. Incorporates underlying concepts, hands-on experience and machine learning tools. Topics include generative AI and large language models, supervised, unsupervised, and reinforcement learning. | |||
Section | 90 | Class Number | 2287 |
Term | Spring 2025-2026 | Status | Active |
Dates | 01/26/2026 - 05/08/2026 | Topic | None |
Time | Instructor | Hendricks,Jacob Gregory | |
Enrolled | 0 of 30 | Room | On-Line |
Notes | Course runs 01/27/26-05/08/26. Special tuition rate applies, and Applied Computing courses are not counted within the tuition plateau. See www.uwrf.edu/studentbilling/. This may affect your Financial Aid; contact the Financial Aid office at finaid@uwrf.edu or 715-425-3141 with questions. Course textbooks are not provided by Textbook Services and must be purchased by the student. Department consent is required. If you are a non-Applied Computing major, please confirm with your academic advisor that this course will count towards your degree. For other questions, please contact Continuing Education at continuing.ed@uwrf.edu or 715-425-3256. | ||