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Machine Learning

Dimensionality reduction

PCA, t-SNE, UMAP, autoencoders, when to reduce dimensions.

5 lessons Follow in order
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Lessons in sequence

Work through these in order—each lesson builds on the previous one.

  1. Lesson 1 of 5

    PCA fundamentals

    Enroll to open · 7 min read

  2. Lesson 2 of 5

    t-SNE

    Enroll to open · 7 min read

  3. Lesson 3 of 5

    UMAP

    Enroll to open · 7 min read

  4. Lesson 4 of 5

    Autoencoders as dimensionality reduction

    Enroll to open · 7 min read

  5. Lesson 5 of 5

    When to reduce dimensions

    Enroll to open · 6 min read

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