Last Updated on July 24, 2023 by Editorial Team
Originally published on Towards AI.
Photo by Zdeněk Macháček on Unsplash
KNN is a non-parametric lazy learning algorithm. Let’s have a look at what each term means —
Non-parametric: Unlike the parametric models, the non-parametric models are more flexible. They don’t have any preconceived notions about the number of parameters or the functional form of the hypothesis. They are thus saving us from the trouble of any wrong assumption about the data distribution. For example, in Linear Regression, which is a parametric algorithm,… Read the full blog for free on Medium.
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Published via Towards AI