UMAP Visualization
Category: Machine Learning · Added: 2026-04-09
About This Module
Reduce high-dimensional data into a low-dimensional map by preserving local topological structures.
This interactive visualization module on Riano lets you adjust parameters in real time
and observe how umap visualization works. Each module includes an
interactive component with adjustable controls and a companion theory article explaining
the underlying mathematical or scientific concepts.
Explore machine learning concepts from neural networks to optimization, regularization, and deep learning architectures with interactive demos.
⚡ This module requires JavaScript for the interactive visualization.
Please enable JavaScript in your browser to use the interactive controls,
adjust parameters, and explore the visualization.
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- Confusion Matrix & Metrics — Adjust predictions and true values to see how accuracy, precision, recall, and F1 score react.
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