This lecture covers the concept of maximum likelihood estimation, focusing on independent measurements, radioactive decay, and the exponential law. It discusses the estimation of unknown parameters and the consistency of ML. The lecture also delves into the Kullback-Leibler divergence and the properties of the exponential law.