University of Calgary

STAT 641 - Statistical Learning - Fall 2022

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.

Hours

  • H(3-0)

Prerequisite(s)

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

Antirequisite(s)

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

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