Understanding PCA with Linear Algebra: A Lecture | Walid Gomaa posted on the topic | LinkedIn
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A new lecture in Machine Learning: Principal Component Analysis - Part 2 - Mathematicl Foundationhttps://lnkd.in/dWEiKdY6The slides explain how Principal Component Analysis (PCA) is derived using linear algebra. The covariance matrix is symmetric and can be decomposed into eigenvalues and eigenvectors. PCA finds the directions (principal ...
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