The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Also offered as: BIST 6615
Prerequisites: Instructor consent and intermediate courses in mathematical and applied statistics.
Grading Basis: Graded
Computationally intensive statistical learning methods with optimization techniques: classification, discriminant analysis, (generalized) additive models, boosting, regression trees, regularized regression, principal components, support vector machines, and (deep) neural networks.
Last Refreshed: 27-SEP-22 05.20.19.331028 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Credits||Grading Basis||Notes|
|1223 15910 1 001||Spring 2022||15910||Storrs||In Person||Gu, Yuwen