University of Calgary

STAT 641 - Statistical Learning - Winter 2019

Introduction and Linear Regression; Classification; Regularization; Model Assessment and Selection; Support Vector Machines; Unsupervised Learning; Tree-Based Methods; Other Topics (e.g., Neural Networks, Graphical Models, High-Dimensional Data).
This course may not be repeated for credit.


  • H(3-0)


  • Admission to a graduate program in Mathematics and Statistics or consent of the Department.


  • Credit for Statistics 641 and 543 will not be allowed.


This course will be offered next in Winter 2021.
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