This is the site for CS 401R, Probabilistic Foundations of Machine Learning
Welcome to CS 401R (Fall 2014) and Probabilistic Foundations of Machine Learning!
On this wiki you will find course information, the syllabus, lecture slides and homework assignments and projects. You can get this information at any time by accessing the links to the left in the navigation panel. The course schedule is available on Learning Suite.
For announcements, it's mandatory to subscribe to the course's Google Group for announcements
CS 401R: Probabilistic Foundations of Machine Learning
Paul Felt & Kevin Black
Textbook: “Probabilistic Graphical Models” by Koller & Friedman. : Companion Website
Supplemental Textbook: Machine Learning: A Probabilistic Perspective by Murphy. : Companion Website
Schedule: On BYU Learning Suite.
Announcements: Google Group - BYU CS 401R Announce : The announcements Google group is used for announcements only. Please give messages on that group high priority.
Discussion Forum : Google Group - BYU CS 401R Discussion : The discussion Google group is used by all class members to discuss ideas and questions concerning the homework assignments and projects. TAs and instructor will participate on the group when available.
Assignment Submission : On BYU Learning Suite
Grades : On BYU Learning Suite
Homework Keys : On Learning Suite
Examples : here