Lecture
PCA: Key Concepts
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On PCA includes interactive exercises and emphasizes minimizing information loss.
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Explores the applications and limitations of Principal Component Analysis, including denoising, compression, and regression.
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Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.