CSCI5525
CSCI 5525 - Machine Learning: Analysis and Methods (3 Cr.)
Computer Science and Engineering Administration (11108)
TIOT - College of Science and Engineering
CSCI 5525 - Machine Learning: Analysis and Methods (3 Cr.)
Course description
Models of learning. Supervised algorithms such as perceptrons, logistic regression, and large margin methods (SVMs, boosting). Hypothesis evaluation. Learning theory. Online algorithms such as winnow and weighted majority. Unsupervised algorithms, dimensionality reduction, spectral methods. Graphical models.
prereq: CSci 5521 or equivalent
prereq: CSci 5521 or equivalent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
012034
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Fall Even Year