A First Course in Probability for Computer and Data Science

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: 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.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column

在這本本科教材中，作者提煉了計算機和數據科學中概率思想和方法的核心。該書強調概率和計算思維，而不是定理和證明。它通過告訴學生為什麼概率有效以及如何應用概率來提供洞察力並激發他們的學習動機。該書的獨特之處如下：該書包含許多實例。散布在全文中的許多有教育意義的問題都附有解決問題的策略。其中一些問題擴展了先前涵蓋的內容。所有問題的答案以及選定問題的解答也提供了。Henk Tijms是應用概率和隨機優化領域的幾本教科書的作者。2008年，他因其工作而獲得了著名的INFORMS Expository Writing Award。他還為《紐約時報》的前Numberplay專欄提供了有趣的概率謎題。