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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.

 

Applies Towards the Following Certificates

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Section Title
Machine Learning
Type
Online
Dates
Oct 27, 2025 to Dec 13, 2025
Contact Hours
45.0
Tuition
  credit (3 credits) $795.00
Potential Discount(s)
Available for Credit
3 credits
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