Subject/Course Search Results

STT 812  Statistical Learning and Data Analysis


Semester
Spring of every year, Summer of every year
Credits
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite
(STT 441 and STT 442) or (STT 810 and STT 811) or (STT 863 and STT 864)
Restrictions
Open to seniors in the Department of Statistics and Probability and not open to graduate students in the Department of Statistics and Probability.
Description
Low dimensional data visualization. Linear Regression. Binary Regression. Linear discriminant analysis. Probabilistic classification. Model selection via regularization. LASSO. Non-parametric smoothing. CART. MART. Support vector machine. Neural network. Clustering. Random forest.
Effective Dates
SUMMER 2022 - Open