Let’s learn about Dimensionality Reduction

Author(s): Himanshu Tripathi

Originally published on Towards AI.

Machine Learning Automation…

This member-only story is on us. Upgrade to access all of Medium.

Photo by Hunter Harritt on Unsplash

What is Dimensionality?

Dimensionality in statistics refers to “How many attributes a dataset has.”

For example:- We have data in spreadsheet format and we have vast amounts of variables (age, name, sex, Id, and so on..).

In a simple way “The number of input variables or features for a dataset is referred to as its dimensionality.”

Why Dimensional Reduction?

Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original… 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