Cognition, Language & Emotions

Related lectures (28)

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Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Explores conditional density, expectations, and independence of random variables with practical examples.

Introduces combinatorial principles, factorials, probabilities, harmonic series convergence, and strategic decision-making in a romantic scenario.

Explores decision-making under uncertainty and the impact of framing on choices.

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.

Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.

Explores variance, covariance, and practical applications in statistics and probability.

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.