Description
Overview of theory and practice of EM algorithm, bootstrap method, Monte Carlo simulation, density estimation, and MCMC. Other popular Data Science algorithms including k-NN, naïve Bayes, decision trees, random forests, SVM and k-means will be covered with hands-on examples.