Probability and Statistics for Computer Science/

Abstract

This book focuses on the fundamental principles of probability and statistics and their applications in computer science. It introduces concepts such as probability theory, random variables, probability distributions, statistical analysis, estimation, and inference. These concepts help computer science students and researchers understand uncertainty, analyse data, develop algorithms, and evaluate computational systems. The subject is relevant to areas such as machine learning, artificial intelligence, data science, computer vision, and algorithm design. The book provides a mathematical foundation for solving computational problems and making informed decisions based on data.