Название: A First Course in Probability for Computer and Data ScienceАвтор: Henk Tijms
Издательство: World Scientific Publishing
Год: 2023
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB
In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for Computer and Data Science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it. The unique features of the book are as follows: Bayesian probability with real-life cases in law and medicine; Logistic regression and naïve Bayes; Real-world applications of probability; Interweaving Monte Carlo simulation and probability; Gentle introduction to Markov chains and Markov chain Monte Carlo simulation. This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.
Probability is the bedrock for data analysis and statistics. Students in computer and data science need a solid background in probability, especially for areas such as Machine Learning (ML) and Artificial Intelligence (AI). This undergraduate text is a truly accessible introduction to the fundamental principles of probability. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by showing them why probability works and how to apply it. The book starts at the beginning; no specific knowledge of probability is required.
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