What is Unsupervised Learning?
Unsupervised learning is a machine learning technique in which the algorithm learns patterns, structures, or relationships in data without explicit guidance or labeled examples. Unlike supervised learning, unsupervised learning does not rely on labeled data that contains predefined output labels or target variables. Instead, it focuses on finding inherent patterns and structures within the data itself.In unsupervised learning, the algorithm aims to explore the data and discover hidden patterns or groupings without any prior knowledge of the expected outcomes. It does this by identifying similarities, differences, or dependencies among the input features or instances. The algorithm learns to extract meaningful representations or features from the data that capture important characteristics or structures.Related terms
Not to be confused with:
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