Statistical Machine Learning

These notes are generally not meant to be read in order. Note 2 to Note 3 is somewhat in order.

  1. Inequality and Convergence of Random Variable
  2. Not Maximum Likelihood: Total Variation, KL-divergence, and Fisher Information
  3. Method of Moments
  4. Linear Regression: Assumptions and Inference
  5. Bayesian Linear Regression
  6. Generalized Linear Model
Statistical Machine Learning - Ruizhen Mai