Probability and statistics

The ACM Computing Classification System's "Probability and statistics" area encompasses the mathematical foundations for modeling uncertainty, including probability theory, statistical inference, hypothesis testing, estimation, and stochastic processes, as well as their application to algorithm analysis, machine learning, performance evaluation, and data-driven computing. It addresses both theoretical development and practical techniques for extracting insights from data in computing contexts.