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This lecture covers logistic regression, a popular discriminative approach for binary classification problems. The instructor explains the logistic risk minimization, logit function, and logistic prediction. The lecture also delves into logistic empirical risk minimization, stochastic optimization methods, and multiclass classification using OvA and OvO strategies.