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The Core of Data Science: Decoding Data’s Structure with Eigenvalues, SVD, and PCA
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A technical deep dive into the foundational Linear Algebra tools—Eigendecomposition and Singular Value Decomposition (SVD)—and their synthesis in Principal Component Analysis (PCA) for dimensionality reduction in AI/ML.