MindsDB Wiki:
Machine Learning Explained

Unsupervised learning

Unsupervised learning is one of the techniques used in machine learning. In unsupervised learning, the aim is to try to detect patterns and regularities in the input data only, without a supervisor (see supervised learning) to tell the data whether the are values are correct. As an example, a company may want to group customers who are similar, based on the data they keep on them such as demographic, financial and/or past purchases, etc. Then we have a natural customer segmentation and we can learn about the similarities of groups of customers without looking for something in particular.

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