Principal Component Analysis

Software / App

conversion of a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components

Mentioned in 1 video

Videos Mentioning Principal Component Analysis

Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

Lex Fridman

A common practitioner's tool for dimensionality reduction. Autoencoders can be seen as nonlinear extensions of PCA, particularly when the hidden layer is linear.