Information Technology Program 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
- Note: The ITP 350 prerequisite will be waived for students who have completed ITP 250 and an approved applied statistics course.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31829D | 001 | Lecture-Lab | 8:00-9:50am | Tue, Thu | 40 of 60 | Nitin Kale | KAP160 |   | |
| 32086D | 001 | Lecture-Lab | 10:00-11:50am | Mon, Wed | 37 of 37 | Nitin Kale | KDC236 | |