CSE 254. Statistical Learning (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/CSE.html#cse254
Description
Learning algorithms based on statistics. Possible topics include minimum-variance unbiased estimators, maximum likelihood estimation, likelihood ratio tests, resampling methods, linear logistic regression, feature selection, regularization, dimensionality reduction, manifold detection. An upper-division undergraduate course on probability and statistics such as MATH 183 or 186, or any graduate course on statistics, pattern recognition, or machine learning is recommended. Prerequisites: graduate standing.
Prerequisite courses
CSE 254 has no prerequisite courses.
Successor courses
No courses have CSE 254 as a prerequisite.