Lectures related to Permutations and Binomial Coefficients

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.