[MINI] k-Nearest Neighbors

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[MINI] k-Nearest Neighbors

FromData Skeptic

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Length:

9 minutes

Released:

Jul 24, 2015

Format:

Podcast episode

Description

This episode explores the k-nearest neighbors algorithm which is an unsupervised, non-parametric method that can be used for both classification and regression. The basica concept is that it leverages some distance function on your dataset to find the $k$ closests other observations of the dataset and averaging them to impute an unknown value or unlabelled datapoint.

Released:

Jul 24, 2015

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

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[MINI] k-Nearest Neighbors

[MINI] k-Nearest Neighbors

Description

Titles in the series (100)

More Episodes from Data Skeptic