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Book I · Chapter 4

Unsupervised learning

Clustering and low-dimensional views of unlabeled data.

Priority
Core
Difficulty
Foundation
Useful for
AS, MLE, RE
Interview rounds
ML breadth

Read first: Linear algebra and geometry

Chapter contents

3 entries · read in order
  1. 01
    k-means clustering
    Concept
  2. 02
    DBSCAN
    Concept
  3. 03
    t-SNE and UMAP: nonlinear dimensionality reduction
    Concept