Arts, Technology and the Business of Innovation 449:
Applications of Machine Learning (4.0 units)
Hands-on approach to the fundamental modeling techniques and machine learning algorithms that enable students to build robust predictive models of real-world data and test their validity.
- Prerequisite: 1 from (TAC 216 or ITP 216 or CSCI 113)
- Crosslist: This course is offered by the TAC department but may qualify for major credit in ACAD. To register, enroll in TAC 449.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31888R | 001 | Lecture | 4:00-5:50pm | Tue, Thu | 25 of 60 | Reza Jafarkhani | THH116 |  | |
| 31890R | 001 | Lecture | 2:00-3:50pm | Mon, Wed | 13 of 60 | Kristof Aldenderfer | KAP160 | PDF (241994 KB) | |
| 31891R | 001 | Lecture | 4:00-5:50pm | Mon, Wed | 7 of 60 | Kristof Aldenderfer | DMC156 | PDF (241994 KB) | |