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be used for a variety of other tasks depending on the problem at hand. Comparing PCA and Autoencoders for Dimensionality Reduction: Linear vs. Nonlinear Approaches PCA is a linear technique that works by finding the directions of maximum variance in the data and projecting the data onto a