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Explore eigendecomposition and singular value decomposition (SVD) through practical examples of SVD and Principal Component Analysis (PCA) in this comprehensive lecture. Learn advanced matrix sketching techniques for streaming data processing, including covariance summation methods, FrequentDirections algorithms, row sampling strategies, and CountSketch implementations for efficient large-scale data analysis.
