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#unsupervised

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01 ·Machine Learning Basics·★ MEMBER·PAPER·11 min read Unsupervised Learning from Scratch — Clustering and Dimensionality Reduction How to pull structure out of data that carries no labels at all, assuming nothing. What k-means, hierarchical clustering and DBSCAN are each good for, what PCA is actually maximizing, and the three ways people misread a t-SNE or UMAP picture — metaphor, then formula, then a figure you can move, then code.