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Machine Learning · Member lesson

Dimensionality Reduction Beyond PCA: t-SNE and UMAP

t-SNE and UMAP reduce data to two dimensions for visualization by preserving local neighborhoods, not variance. This lesson covers how they differ from PCA and how to read them.

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Dimensionality Reduction Beyond PCA: t-SNE and UMAP | OnePocketML