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Unit 2.4.1 Principle Component Analysis (PCA)

Principle Component Analysis (PCA) is a standard technique in data science related to the SVD. You may enjoy the article

In that article, PCA is cast as an eigenvalue problem rather than a singular value problem. Later in the course, in Week 11, we will link these.