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EN.525.670

Machine Learning for Signal Processing

Johns Hopkins University 3 credits Electrical and Computer Engineering

Course Description

This course will focus on the use of machine learning theory and algorithms to model, classify, and retrieve information from different kinds of real world signals such as audio, speech, image, and video. Prerequisite(s): ***Computer Science students only: Must complete core courses first (EN.605.601 AND EN.605.611 AND EN.605.621).;EN.525.627 Digital Signal Processing and EN.525.614 Probability and Stochastic Processes for Engineers;***Cybersecurity students only: Must complete core courses first (EN.605.621 AND EN.695.601 AND EN.695.641).;***Artificial Intelligence students only: Must complete core courses first EN.705.603 AND EN.705.623 AND EN.705.601 AND (EN.705.605 OR EN.705.608).

Code
EN.525.670
Credits
3
Subject
Electrical and Computer Engineering

Programs That Include This Course

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