Dimensionality-Reduction
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Unsupervised Learning
What unsupervised learning is, how it discovers patterns without labels, and practical enterprise …UMAP
Uniform Manifold Approximation and Projection for faster dimensionality reduction that preserves both local …t-SNE
Non-linear dimensionality reduction technique for visualizing high-dimensional data in two or three …PCA - Principal Component Analysis
What PCA is, how it identifies principal components, and when to use it for dimensionality reduction in ML …Dimensionality Reduction
What dimensionality reduction is, common techniques including PCA and t-SNE, and when to reduce feature …Autoencoder
What autoencoders are, how they learn compressed data representations, and practical applications in anomaly …
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