General AI
Unsupervised Learning
Definition
A machine learning approach where models discover patterns and structures in unlabeled data without predefined categories.In-Depth Explanation
Unlike supervised learning, unsupervised learning works with data that has no labels or correct answers. The algorithm must find hidden patterns, groupings, or relationships on its own. Common techniques include clustering (grouping similar items), dimensionality reduction, and anomaly detection. It is useful when labeling data is expensive or impossible.
Real-World Example
Grouping customers into segments based on purchasing behavior without knowing the segments in advance.
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