Data Science 561:
Predictive Analytics (3.0 units)
Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
- Crosslist: This course is offered by the ISE department but may qualify for major credit in INF. To register, enroll in ISE 529.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 048 | Lecture | 3:30-6:20pm | Friday | 38 of 40 | Cesar Acosta-Mejia | KAP156 | PDF (1063501 MB) |   |
| 31726D | 048 | Lecture | 5:00-7:50pm | Wednesday | 82 of 82 | Cesar Acosta-Mejia | SOSB2 | PDF (1063954 MB) | |