Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
