Unsupervised Learning
Level 2Short Description
A training approach where the model finds structure in unlabeled data (e.g., clustering similar items).
Friendly Description: Unsupervised learning is when an AI looks at unlabeled data and finds patterns on its own. Nobody tells it the right answers, it just notices that some things tend to group together. It's like sorting a giant pile of mixed Lego pieces into groups by color and shape without anyone telling you what the categories should be.
Example: A streaming service might use unsupervised learning to discover that certain customers tend to enjoy similar shows, even though no one labeled those customers as a "group." That discovery helps the service recommend new content people are likely to love.