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For example, an algorithm could possibly be fed a scaled-down quantity of labeled speech data then properly trained on a much bigger set of unlabeled speech data so as to develop a machine learning design capable of speech recognition.Unsupervised machine learning takes advantage of unlabeled data sets to train algorithms. In this particular proces