STAT 5630
Statistical Machine Learning
Course Description
Prerequisites
STAT 5120, STAT 6120, or ECON 3720, and previous experience with R Prerequisite: STAT 5120, STAT 6120, or ECON 3720, and previous experience with R
Introduces various topics in machine learning, including regression, classification, resampling methods, linear model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. The statistical software R is incorporated throughout.Prerequisite: STAT 5120, STAT 6120, or ECON 3720, and previous experience with R Prerequisite: STAT 5120, STAT 6120, or ECON 3720, and previous experience with R
Instructors
Lingxiao Wang
Spring 2026
mowe 2:00pm - 3:15pm
—
Rating
—
Difficulty
—
GPA
Zach Lubberts
Spring 2025
MoWe 3:30pm - 4:45pm
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Rating
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Difficulty
3.98
GPA
Shan Yu
Spring 2023
TuTh 5:00pm - 6:15pm
3.3
Rating
3.0
Difficulty
3.64
GPA
Xiwei Tang
Fall 2019
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Rating
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Difficulty
3.86
GPA
Jordan Rodu
Fall 2018
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Rating
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Difficulty
3.83
GPA
Minh Pham
Spring 2017
1.8
Rating
3.0
Difficulty
3.51
GPA
Jeffrey Holt
Spring 2015
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Rating
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Difficulty
3.53
GPA