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1:29
YouTube
Rajistics - data science, AI, and machine learning
4 Techniques for Dimensionality Reduction: PCA, AutoEncoder, TSNE, and UMAP
4 ways to do Dimensionality Reduction - PCA, Autoencoders, TSNE, and UMAP Lots of reasons to do dimensionality reduction - you want to compress you data to save memory, compute, or build visualizations. Lots of resources online, go check it out ━━━━━━━━━━━━━━━━━━━━━━━━━ ★ Rajistics Social ...
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