At a Glance: In this video you will learn about three very common methods for data dimensionality reduction: PCA, t-SNE and High-dimensional data is everywhere — 784-pixel digits, 20000-gene cells — but you can't see it.
Umap Simple Explanation With An Example -
In this video you will learn about three very common methods for data dimensionality reduction: PCA, t-SNE and High-dimensional data is everywhere — 784-pixel digits, 20000-gene cells — but you can't see it.
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- In this video you will learn about three very common methods for data dimensionality reduction: PCA, t-SNE and
- High-dimensional data is everywhere — 784-pixel digits, 20000-gene cells — but you can't see it.
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