Crash Course: Statistics #37 - Unsupervised Learning

Today we’re going to discuss how machine learning can be used to group and label information even if those labels don’t exist.

We’ll explore two types of clustering used in Unsupervised Machine Learning: k-means and Hierarchical clustering, and show how they can be used in many ways – from book suggestions and medical interventions, to giving people better deals on pizza! Special thanks to Michele Atterson and the Butler University Student Disability Services Office for help with this video.

Math Topics
Data, Graphing & Statistics
High School, College
9th Grade, 10th Grade, 11th Grade, 12th Grade, College

What are you looking for?


Crash Course

Website URL

Type of Resource


Assigned Categories