Unsupervised Learning and Representation
Learners can explore structure in unlabeled data, compare scaling choices, inspect clusters and projections, and write a caution note that avoids inventing causes.
Executable courseRead the lesson pages, run the browser practice notebook, and keep the downloadable fallback pack if you want a local copy.
Module sequence
- What changes when there is no labelUnit 1 · 20-35 minutes
- Distance, similarity, and feature spaceUnit 2 · 20-35 minutes
- Why scaling changes unsupervised resultsUnit 3 · 20-35 minutes
- Clustering as a grouping toolUnit 4 · 20-35 minutes
- Choosing and questioning cluster countsUnit 5 · 20-35 minutes
- Dimensionality reduction and projection for explorationUnit 6 · 20-35 minutes
- Representation, embeddings as a future bridge, and limitsUnit 7 · 20-35 minutes
- Project step: explore structure without inventing labels or causesUnit 8 · 20-35 minutes
- Activity: Explore Structure Without Inventing LabelsPractice activity · 45-75 minutes
- Module 04 Assessment: Unsupervised Exploration CheckModule check · 35-50 minutes