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Interactive Learning
Non-linear dimensionality reduction for visualization. t-SNE & UMAP is a advanced machine learning algorithm used for discovering patterns in unlabeled data. Before learning t-SNE & UMAP, you should understand: pca, probability-basics. Real-world applications include: High-dimensional visualization, Cluster exploration, Single-cell analysis. This is an advanced topic requiring solid prerequisites.
High-dimensional visualization
Cluster exploration
Single-cell analysis
Interactive lesson with visualizations and practice problems
Part of the t-SNE & UMAP lesson in Machine Learning