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Cursos en línea para aprender K-Nearest Neighbors

Explorar2cursos de ciencia de datos y recursos gratuitos que cubren todo lo que necesita saber sobreK-Nearest Neighbors.

Visión general

In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric classification method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classification and regression. In both cases, the input consists of the k closest training examples in data set.

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