Lecture
This lecture covers the concept of likelihood in probability and statistics, illustrating how to express the probability of data given a parameter and vice versa. It explains the definition of likelihood, estimation by maximum likelihood, and advantages/disadvantages of the method. The lecture also delves into finding the maximum likelihood estimator (MLE) using calculus and numerical algorithms, along with examples of MLE in binomial and normal distributions.