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.
|31829D||001||Lecture-Lab||8:00-9:50am||Tue, Thu||40 of 60||Nitin Kale||KAP160|
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