Bootstrap is A Method to Quantify Uncertainty
Summary of bootstrap
statistics
Some Cross-Validation Methods
Summary about some cross-validation methods and their pros and cons
What You Should Know About Logistic Regression and Naive Bayes
Some take outs from machine learning
Hypothesis testing and difference between z-Test and t-Test
Basic concepts of statistics
Generative v.s. Discriminative Models
Machine Learning notes