Materials for a 5 day prep course reviewing mathematics and statistics useful for Duke's MSS program.
Helpful references:
- Mathematics for Machine Learning - Garrett Thomas
- Matrix Algebra from a Statistician’s Perspective - David Harville
- Statistical Inference - Casella and Berger
- All of Statistics - Larry Wasserman
- A First Course in Bayesian Statistical Methods - Peter Hoff