Computer Science: Probability and Statistics

“Computer Science: Probability and Statistics” provides a comprehensive exploration of fundamental statistical concepts essential in the realm of computer science. This book navigates through key topics such as binomial and Poisson distributions, conditional probability, and random variables. It delves into measures of variance, correlation, and standard deviation, crucial for understanding and interpreting data in computer science applications.

Moreover, this resource bridges theoretical statistical concepts with practical applications in computer science, catering to students and professionals seeking a deeper understanding of probability and statistics within the computational domain. By covering essential statistical tools and concepts, this book equips readers with the foundational knowledge necessary for data analysis, modeling, and decision-making in the field of computer science.

Keywords

Binomial distribution, Conditional probability, Poisson distribution, Random variable, Variance, Correlation, Standard deviation