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.
31529D048Lecture3:30-6:20pmFriday38 of 40Cesar Acosta-MejiaKAP156PDF (1063501 MB)feesession dates
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Cesar Acosta-MejiaSOSB2PDF (1063954 MB)feesession dates
Information accurate as of March 9, 2020 7:44 am.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.