Unsupervised Learning
Unsupervised Learning is a machine learning category where a model is trained on an unlabeled dataset. The algorithm attempts to discover hidden structures, groupings, or distributions within the input data without external guidance.
Frequently Asked Questions
What is clustering in unsupervised learning?▼
The process of grouping similar data points together based on vector distances (e.g., K-Means clustering).
How does unsupervised learning differ from supervised learning?▼
Supervised learning trains on labeled target answers. Unsupervised learning analyzes structures without any labels.
Quick Facts
- CategoryFoundational AI
- Key ApplicationCustomer segmentation, dimensionality reduction, and anomaly detection
Coverage Trend12 Weeks
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Unsupervised Learning Media Coverage & Intelligence
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