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This lecture covers the concept of Maximum Likelihood Estimation (MLE) in statistics. It explains the assumptions, properties, and distribution of MLE. The lecture also delves into ML Estimation-Distribution, Shrinkage Estimation, and Loss functions, providing theoretical insights and proofs.