Discuss some dimension reduction techniques and their applications in the field of machine learning?

Hard Difficulty

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ML Knowledge question

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Here's a Hint

Compare and contrast different dimension reduction methods (PCA, t-SNE, UMAP, etc.) with concrete examples of when each is most appropriate.