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: ITP 115 and ITP 249
- Crosslist: This course is offered by the ITP department but may qualify for major credit in ACAD. To register, enroll in ITP 449.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32060D | 001 | Lecture | 2:00-3:50pm | Tue, Thu | 24 of 25 | Kristof Aldenderfer | KAP267 | Word (307460 KB) |  |
| 31829D | 001 | Lecture-Lab | 2:00-3:50pm | Mon, Wed | 39 of 60 | Reza Jafarkhani | KAP160 | PDF (383961 KB) | |
| 31874D | 001 | Lecture-Lab | 12:00-1:50pm | Mon, Wed | 59 of 60 | Kristof Aldenderfer | THH212 | Word (307460 KB) |  |
| 32086D | 001 | Lecture-Lab | 10:00-11:50am | Mon, Wed | 41 of 60 | Reza Jafarkhani | KDC235 | PDF (383961 KB) | |