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.
|31529D||048||Lecture||3:30-6:20pm||Friday||38 of 40||Cesar Acosta-Mejia||KAP156||PDF (1063501 MB)|
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|Cesar Acosta-Mejia||SOSB2||PDF (1063954 MB)|