Machine Learning Section 010

Outlier and Anomaly Detection

Finding the handful of rows that do not belong, when almost nothing is labelled.

7 of 7 lessons published Three reading levels on every lesson

Start with “Outliers vs novelties”

Lessons in order

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

  1. Outliers vs novelties
  2. Z-scores, IQR fences and MAD
  3. Isolation forest
  4. Local outlier factor
  5. One-class SVM
  6. Anomaly detection by reconstruction error
  7. Evaluating an outlier detector