Computer Science
CS 438: Applied Machine Learning
This course presents the practical side of machine learning for applications, such as pattern recognition from images or building predictive classifiers. Topics will include linear models for regression, decision trees, rule based classification, support vector machines, Bayesian networks, and clustering. The emphasis of the course will be on the hands-on application of machine learning to a variety of problems.
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Ozgun Babur | Wei Ding | |
|---|---|---|
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- Ozgun BaburNot enough reviews yet0 reviews
- Wei DingNot enough reviews yet0 reviews
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