Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
