Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.
