Unlock the full potential of AI with Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!


Latest   Machine Learning


Last Updated on July 24, 2023 by Editorial Team

Author(s): Palak

Originally published on Towards AI.

Intuitive Approach

Photo by Zdeněk Macháček on Unsplash

K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, we’ll only discuss its classification form.

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.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓