Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
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.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
