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Unsupervised Learning

Unsupervised learning (UL) is a type of algorithm that learns patterns from untagged data. The hope is that through mimicry, the machine is forced to build a compact internal representation of its world. In contrast to supervised learning (SL) where data is tagged by a human, e.g. as "car" or "fish" etc, UL exhibits self-organization that captures patterns as neuronal predelections or probability densities.

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These are the most often used hashtags on social media when including Unsupervised Learning. The top three related keywords are datascience, machinelearning, and artificialintelligence.

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