2 Unsupervised Learning

Learning from data with no answers given: just inputs, and the model finds the structure.

• 2.1 Clustering: group similar examples (news articles, music listeners)
• 2.2 Anomaly Detection: spot examples that don’t fit (unusual bank spending)
• 2.3 Dimensionality Reduction: describe each example with fewer numbers (digit images)

Pick one above, or use the sidebar.

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Table of contents

• 2.1 Clustering
• 2.2 Anomaly Detection
• 2.3 Dimensionality Reduction