Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Despite the success of supervised machine learning and ...

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Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.

For example, a company discovering that a particular customer segment is much more price-sensitive than other segments might offer targeted discounts only to that group, improving marketing ROI.