Probability and Statistics for Data Science L

Course content

Introduction to history and concepts of probability, statistics and data science, artificial intelligence, data mining, machine learning, deep learning, comparison of these topics, probability, combinatorics, random variables, some common discrete and continuous distributions and their properties, expectations, joint distribution functions, conditional distributions, distribution functions, moment generating functions, transformations of variables, multivariate normal distribution, limit theorems.