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 DSCI. To register, enroll in ISE 529.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31552D | 048 | Lecture | 12:30-3:20pm | Tuesday | 75 of 75 | Maryam Pishgar | OHE136 | PDF (58044 KB) |  |
| 31729D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 51 of 75 | Victoria Stodden | SOSB46 | | |
| 31731D | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 33 of 65 | Victoria Stodden | KAP146 | | |
| 31752D | 034 | Lecture | 12:30-3:20pm | Tuesday | 3 of 15 | Maryam Pishgar | DEN@Viterbi | PDF (58044 KB) | |