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Statistical and Machine Learning
STAT 6340
School of Natural Sciences and Mathematics
Statistical models, including linear models, generalized linear models, spline models and additive models; model selection, validation and regularization; smoothing techniques; classification; support vector machines; clustering; principal components analysis; and principal components regression. 3 credit hours.
Prerequisite: (STAT 5353 or equivalent) or instructor consent required.
Offering Frequency: Each year
Grades: 260
Median GPA: A-
Mean GPA: 3.469
Click a checkbox to add something to compare.
Statistical and Machine Learning
STAT 6340
School of Natural Sciences and Mathematics
Statistical models, including linear models, generalized linear models, spline models and additive models; model selection, validation and regularization; smoothing techniques; classification; support vector machines; clustering; principal components analysis; and principal components regression. 3 credit hours.
Prerequisite: (STAT 5353 or equivalent) or instructor consent required.
Offering Frequency: Each year
Grades: 260
Median GPA: A-
Mean GPA: 3.469
Click a checkbox to add something to compare.