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Dec 04, 2024
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ECE 5365 - Adaptive Algorithms for Machine Learning
Credits: 3
Explains what an adaptive algorithms is, how it is used to solve problems in the processing of measurements and/or data, how it works, and some of the possible design choices. Includes both supervised and unsupervised learning. Discusses derivation, description, and implementation of various machine learning algorithms for estimation, feature extraction and filtering, and classification. Prerequisites: MATH 3304 /MATH 3353 or equivalent linear algebra and probability and statistics to the level of ECE 3360 , CS 4340 , EMIS 3340 , STAT 4340 , or STAT 4341 , or instructor consent.
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