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: equipment learning Unsupervised learning, also called unsupervised equipment learning, makes use of equipment learning algorithms to analyze and cluster unlabeled datasets. These algorithms find out concealed patterns or knowledge groupings with no want for human intervention.—In this model, teaching and evaluation are considered as two separat