A.I, Data and Software Engineering

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The intuition of Principal Component Analysis

Petamind A.I

As PCA and linear autoencoder have a close relation, this post introduces again PCA as a powerful dimension reduction tool while skipping many mathematical proofs. PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly...

A.I, Data and Software Engineering

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