COM SCI M266B
Statistical Computing and Inference in Vision and Cognition
Computer Science · 4 units · Graduate courses (200-299)
(Same as Statistics M232B.) Introduction to broad range of algorithms for statistical inference and learning that could be used in vision, pattern recognition, speech, bioinformatics, data mining. Topics include Markov chain Monte Carlo computing, sequential Monte Carlo methods, belief propagation, partial differential equations.
S/U or letter grading.
Requisites
Official UCLA wording
Preparation: basic statistics, linear algebra (matrix analysis), computer vision.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "basic statistics" (no course number found)
- · could not read "linear algebra (matrix analysis)" (no course number found)
- · could not read "computer vision" (no course number found)
- · no course reference could be read from this requisite
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.