Unsupervised Learning

Definition of Unsupervised Learning as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Machine Learning Methods

Unsupervised Learning is an approach to machine learning where algorithms are used to identify patterns in data without being explicitly guided by labeled examples. It's about finding structure in unlabeled data, and it's often used for clustering, dimensionality reduction, density estimation, and anomaly detection. In the context of Technology/Artificial Intelligence/Artificial Intelligence Algorithms/Machine Learning Methods, Unsupervised Learning is a technique that allows machines to learn from data on their own, without human intervention or supervision. This can be particularly useful in situations where labeled data is scarce or expensive to obtain, as it enables the discovery of previously unknown patterns and insights. By uncovering hidden relationships and structures within data, Unsupervised Learning can help drive innovation and improve decision-making across a wide range of industries and applications.

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