What is an eigenvector?: A 5-minute visual guide to one of the fundamental concepts in Linear Algebra. 🧠

TL;DR: An eigenvector x of a matrix A is a vector that does not change direction when multiplied by A.

Eigenvectors are a cornerstone of many advanced techniques in machine learning and data science. Eigenvectors are at the core of dimensionality reduction techniques, data transformation, and feature extraction.

They have seen use in the famous page rank algorithm on which the initial Google search was based. Netflix's recommendation system also uses this at its core for collaborative filtering and recommending …

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