Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
