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UMBC, USMx: Unsupervised LearningUMBC, USMx: Unsupervised Learning

UMBC, USMx: Unsupervised Learning

Unsupervised learning is a category of machine learning algorithms that use unlabeled data and no prior training. Many algorithms fall into this category. This class will cover the more popular ones of K-Means, DBSCAN and Hierarchical Clustering. The course ends with a capstone project.

There is one session available:

After a course session ends, it will be archived.

Starts Jan 14
Ends Dec 31