Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probability and StatisticsIntroduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Detection & EstimationCovers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Probability and StatisticsIntroduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
Probability and StatisticsCovers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
NISQ and IBM QExplores NISQ devices and IBM Q, covering noisy quantum circuits, qubit technologies, and quantum algorithm development.
