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SLH 395M

Applied Machine Learning and Data Analytics

The University of Texas at Austin 3 credits Speech, Language, and Hearing Sciences

Course Description

Introduction to the fundamental concepts of machine learning with a focus on its practical use for those who have no engineering or computer science background. Explore basic mathematics (e.g., vector and matrix), specialized programming skills (e.g., Matlab for data processing, visualization, and analysis), and other data analysis techniques (e.g., principal component analysis). Three lecture hours a week for one semester. Pre/Corequisites: Graduate standing.

Code
SLH 395M
Credits
3
Subject
Speech, Language, and Hearing Sciences

Programs That Include This Course

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