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Supervised versus unsupervised learning – a pictorial representation. Supervised learning involves a training phase in which a labeled dataset is used to train the model that will subsequently be able to recognize unseen data. Unsupervised learning identifies latent factors in unmarked data and groups them based on similarity.
