Unsupervised learning (or „Unsupervised machine learning“)
Unsupervised Learning is a machine learning process that enables algorithms to analyse and cluster unlabelled datasets to discover hidden patterns, data groupings or anomalies or anomalies without human intervention.
The algorithm parses available data and determines correlations and relationships without an answer key by drawing inferences and grouping like things based on unconstrained observation and intuition.
As the amount of data the algorithm is exposed to grows, its modelling becomes more accurate and refined.
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