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Course Description

The theory and applications of machine learning concepts and algorithms are introduced. Key topics in machine learning, including supervised and unsupervised learning algorithms, are covered. Additional topics include linear models for regression and classification, decision trees, support vector machines and kernel methods, ensemble methods, and dimension reduction. The machine learning algorithms are applied to solve problems with real data.

 

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Section Title
Machine Learning
Type
Online
Dates
Nov 02, 2026 to Dec 19, 2026
Contact Hours
45.0
Delivery Options
Online  
Tuition
  credit (3 credits) $795.00 Click here to get more information
Available for Credit
3 credits
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