Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
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.
