Machine Learning Section 008

Dimensionality Reduction

Squeezing hundreds of columns into a few, without losing the thing that mattered.

10 of 10 lessons published Three reading levels on every lesson

Start with “The curse of dimensionality”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. The curse of dimensionality
  2. Principal component analysis
  3. Kernel PCA
  4. Truncated SVD and LSA
  5. Independent component analysis
  6. Non-negative matrix factorisation
  7. Random projections
  8. t-SNE
  9. UMAP
  10. Reading an embedding plot honestly