Unsupervised Learning with Clustering


Synchronous online

Toronto (Starting November)

4 hours

Audience: Technical

Level: Beginner


Unsupervised learning is used in a wide variety of applications, either directly, for example in customer segmentation, or as a feature preprocessing step. Clustering is a family of algorithms used in unsupervised learning. This course provides an in-depth look at clustering algorithms and ways to evaluate their performance.

You will learn:

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