Let the machines do what they do best. The 37th installment of the Crash Course Statistics series focuses on unsupervised machine learning. It describes two methods, k-means and hierarchical clustering, and provides examples for each.

Concepts

data, machines, grouping

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Additional Tags

science

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Instructional Ideas

• Have the class create graphic organizers comparing supervised and unsupervised machine learning
  

Classroom Considerations

• Learners should be familiar with machine learning from the previous video
• Note that one of the examples focuses on autism spectrum disorders
  

• This video is hosted on YouTube

Pros

• Easy for teenagers to relate to the examples
• Graphics help hold viewer interest
  

Cons

• None