Message passing in networks

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Explores the Flory approximation for analyzing polymer chain behavior and the impact of excluded volume on chain conformation.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

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.

Explores the probability of complementary events and unions, with examples on dice rolls and number selection.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Covers the basics of probability theory, random variables, joint probability, and inference.

Introduces the key concepts of convexity and its applications in different fields.