STAT5052
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STAT 5052 - Statistical and Machine Learning (3 Cr.)
Statistics, School of (10991)
TCLA - College of Liberal Arts
Course description
The material covered will be the foundations of modern machine learning methods including regularization methods, discriminant analysis, neural nets, random forest, bagging, boosting, support vector machine, and clustering. Model comparison using cross-validation and bootstrap methods will be emphasized.
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Lecture
Requirements
012553
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Periodic Fall & Spring