Probabilistic

Probabilistic Graphical Models

Daphne Koller

Course Description

In this course, you'll learn about probabilistic graphical models, which are cool.

Familiarity with programming, basic linear algebra (matrices, vectors, matrix-vector multiplication), and basic probability (random variables, basic properties of probability) is assumed. Basic calculus (derivatives and partial derivatives) would be helpful and would give you additional intuitions about the algorithms, but isn't required to fully complete this course.


Background



Representation



Inference



Learning



Causation



Interactive Sessions



Resources