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 ...

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 ...

Most untrained machine learning is a form of cluster analysis, in which a set of data is grouped in a way so that the items in each group (or cluster) are more similar to each other than to those ...

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.

In the absence of labels, however, unsupervised learning — also known as self-supervised learning — is the only way to fill gaps in knowledge. Above: Soniox founder and CEO Klemen Simonic.