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 |
|---|---|---|---|---|---|---|---|---|---|
| 32027R | 001 | Lecture | 6:00-7:50pm | Tue, Thu | 35 of 50 | Reza Jafarkhani | LVL17 |  | |
| 32028R | 001 | Lecture | 4:00-5:50pm | Tue, Thu | 50 of 50 | Reza Jafarkhani | LVL17 | PDF (388364 KB) | |
| 32029R | 001 | Lecture | 4:00-5:50pm | Mon, Wed | 59 of 60 | Kristof Aldenderfer | KAP160 | Word (756619 KB) | |
| 32030R | 001 | Lecture | 6:00-7:50pm | Mon, Wed | 24 of 60 | Kristof Aldenderfer | KAP160 | Word (756619 KB) | |