Learning and Reasoning with Bayesian Networks
Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: course 112 or Electrical Engineering 131A. Review of several formalisms for representing and managing uncertainty in reasoning systems; presentation of comprehensive description of Bayesian inference using belief networks representation. Letter grading.
Review Summary
- Clarity
-
10.0 / 10
- Organization
-
10.0 / 10
- Time
-
5-10 hrs/week
- Overall
-
10.0 / 10
Reviews
One of the best CS professor in UCLA. the course is will organized. There are recorded lectures from previous years. There will be a midterm exam and a final exam. Weekly assignments for each week.
Showing 1 review
Course
Grading Information
-
No group projects
-
Attendance not required
-
1 midterm
-
Finals week final
-
100% recommend the textbook
Previous Grades
Grade distributions not available.