This lecture covers common probability distributions such as Binomial, Geometric, Negative Binomial, Poisson, and Multinomial, explaining their mean, variance, and moment generating functions. It also delves into special distributions like Uniform, Exponential, Gamma, and Normal distributions, discussing their properties and applications, including entropy and Kullback-Leibler divergence.