Unsupervised learning: Difference between revisions
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'''Unsupervised learning''' is a type of machine learning algorithm which does not supervise the model, but lets the model work on its own. | '''Unsupervised learning''' is a type of machine learning algorithm which does not supervise the model, but lets the model work on its own. The biggest difference between [[supervised learning]] and unsupervised learning is that the former deals with labeled data, while the latter deals with unlabeled data. Unsupervised learning has more difficult algorithms than [[supervised learning]]. | ||
== Unsupervised learning techniques == | == Unsupervised learning techniques == | ||
Revision as of 14:12, 3 February 2020
Unsupervised learning is a type of machine learning algorithm which does not supervise the model, but lets the model work on its own. The biggest difference between supervised learning and unsupervised learning is that the former deals with labeled data, while the latter deals with unlabeled data. Unsupervised learning has more difficult algorithms than supervised learning.