Lecture
This lecture covers Hoeffding's inequality, which is applied to independent random variables to estimate the probability of deviation from the expected sum. It also explores the binomial distribution as the sum of Bernoulli random variables, providing insights into concentration bounds and overfitting in Expected Risk Minimization. The lecture delves into predictors' error minimization and generalization gaps, emphasizing the importance of structural risk minimization in predictor selection.