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14:33
YouTube
Practical AI Pro
Dimensionality Reduction in ML | PCA vs t-SNE vs UMAP | Unsupervised Learning | Ch 5 – Pt 2
Dimensionality Reduction is one of the most important concepts in Machine Learning — especially when dealing with high-dimensional datasets. In this video, we break down PCA, t-SNE, and UMAP using simple language, clear visuals, and real-world intuition, so anyone can understand! 🔍 What You’ll Learn: What is Dimensionality Reduction? Why ...
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2 months ago
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AI | Machine Learning | Tech on Instagram: "UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique used to simplify complex, high-dimensional data—making it easier to visualize in just 2 or 3 dimensions. Imagine you have a dataset that is difficult to understand since there are many features (such as height, age, weight, etc.). UMAP projects this data for visualization, in a 2D or 3D plot for instance. UMAP works by maintaining key spatial features and hiera
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