Machine Learning Section 004

Classic Algorithms in Depth

The workhorse algorithms behind most real predictions, one lesson each, with the maths that makes them behave.

10 of 10 lessons published Three reading levels on every lesson

Start with “K-nearest neighbours”

Lessons in order

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

  1. K-nearest neighbours
  2. Distance metrics
  3. Support vector machines
  4. The kernel trick
  5. Naive Bayes
  6. Linear discriminant analysis
  7. Gaussian process regression
  8. How a tree chooses a split
  9. Pruning a decision tree
  10. Semi-supervised learning