2020-2021 Undergraduate Catalog

MATH 17366 Statistical Machine Learning for Pattern Recognition

This course is science and engineering oriented and focuses on pattern recognition to present approximate learning algorithms that permit fast approximate answers in situations where exact answers are not feasible to graphical models describing probability distributions. Prerequisites: MATH 17230 and MATH 17316.