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 |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 048 | Lecture | 3:30-6:20pm | Monday | 58 of 60 | Cesar Acosta-Mejia | OHE136 | PDF (312733 KB) |  |
| 31546D | 048 | Lecture | 7:00-9:50pm | Thursday | 66 of 90 | Bruce Wilcox | SLH100 | PDF (308287 KB) | |
| 31726D | 048 | Lecture | 5:00-7:50pm | Thursday | 60 of 60 | Cesar Acosta-Mejia | GFS101 | PDF (314285 KB) | |
| 31731D | 034 | Lecture | 3:30-6:20pm | Monday | 34 of 40 | Cesar Acosta-Mejia | DEN@Viterbi | PDF (312733 KB) | |