Coin flips, bell curves, and the math of uncertainty

Mean, variance, standard deviation, and the Central Limit Theorem

Updating beliefs with evidence

Make principled decisions from data using null hypotheses, p-values, and significance levels

Random sampling, the law of large numbers, and Monte Carlo estimation

Maximum likelihood and maximum a posteriori — why training works

Measuring surprise, uncertainty, and prediction quality

Measuring how different two distributions are