This lecture covers basic probability theory, including sample space, events, and probability distributions. It also explains conditional probability, independence, pairwise and mutual independence, Bernoulli trials, and Bayes' Theorem.
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Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
