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ECE 566 - Machine and Deep Learning

Course Title: 

Machine and Deep Learning

Course Description: 

Overview of machine learning and deep learning; principle of learning; Bayesian methods; non-parametric classifiers, Fisher’s linear discriminant analysis, principal component analysis; training, validation, and testing; support vector machines; neural networks; history of deep learning; and applications of deep learning.

Credit: 

(3-0-3)

Prerequisite: 

[(ECE 511 with min. grade of C)]

Corequisite: 

None