Estimation, Detection, Learning and Inference
Download as PDF
Overview
Subject area
ELE
Catalog Number
732
Course Title
Estimation, Detection, Learning and Inference
Department(s)
Description
Algorithmic tools and theoretical framework for data driven analytics and system design. Fundamentals of probability, hypothesis testing, estimation; an introduction to optimization and iterative optimization methods, elements of learning theory, supervised methods, unsupervised methods, dimensionality reduction, regularization, learning in dynamic environments, large data sets, computing environments for large data sets.
Typically Offered
Fall, Spring
Academic Career
Graduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
030167