Unsupervised Learning
Learning from unlabeled data to discover hidden patterns, structures, or relationships without explicit target outputs.
Related Concepts
- Clustering: Explore how Clustering relates to Unsupervised Learning
- Dimensionality Reduction: Explore how Dimensionality Reduction relates to Unsupervised Learning
- Anomaly Detection: Explore how Anomaly Detection relates to Unsupervised Learning
Why It Matters
Understanding Unsupervised Learning is crucial for anyone working with machine learning fundamentals. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Anomaly Detection
Identifying unusual patterns or outliers in data that don't conform to expected behavior, used for fraud detection and monitoring.
Clustering
An unsupervised learning technique that groups similar data points together based on their features or characteristics.
Dimensionality Reduction
Techniques to reduce the number of input features while preserving important information (PCA, t-SNE, autoencoders).