Elements of Statistical Inference
It’s always incredible to see how some simple algebraic manipulation can make your work easier when building models in Machine Learning. For example, the Maximum Likelihood Estimate reduces to a lovely sum in the case of two classifiers. More discussion coming soon, but I’ve been reading about this across several papers and technical blogs:
- Elements of Statistical Inference (my Bible)
- Logistic Regression Handout from Stanford CS 109
- CMU Stat Dept handout
- CZep’s Paper
- Rutgers Slides on Logit