CS7751: Probabilistic Graphical Models in Machine Learning

3 Credits

The course provides an introduction to theory and practice of graphical models in machine learning. It covers three main aspects; representation, probabilistic inference, and learning.

Requisites

All Instructors

GPA: 3.69Most Common: A (57.4%)

This total includes data from semesters with unknown instructors

108 students
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  • Vince Kim

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