Principal Component Analysis

Software / App

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

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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.