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 216
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32027R | 001 | Lecture | 6:00-7:50pm | Tue, Thu | 52 of 55 | Reza Jafarkhani | LVL17 | PDF (445732 KB) |  |
| 32028R | 001 | Lecture | 4:00-5:50pm | Tue, Thu | 56 of 56 | Reza Jafarkhani | LVL17 | PDF (445732 KB) | |
| 32029R | 001 | Lecture | 2:00-3:50pm | Mon, Wed | 25 of 32 | Kristof Aldenderfer | OHE540 | PDF (241838 KB) | |