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This lecture introduces exponential family distributions, which are characterized by a specific form of probability distribution. The instructor explains the components of an exponential family distribution, such as natural and canonical parameters, sufficient statistics, and the log partition function. The lecture covers the relationship between exponential family distributions and Bernoulli distributions, as well as the prediction of expected values. Practical examples, like logistic regression, are used to illustrate the concepts discussed.