Introduction to Probability for Computing

‘This book provides a fantastic introduction to probability for computer scientists and computing professionals, addressing concepts and techniques crucial to the design and analysis of randomized algorithms, to performing well-designed simulations, to statistical inference and machine learning, and more. Also contains many great exercises and examples. Highly recommend!’ Avrim Blum, Toyota Technological Institute at Chicago

‘Mor Harchol-Balter’s new book does a beautiful job of introducing students to probability! The book is full of great computer science-relevant examples, wonderful intuition, simple and clear explanations, and mathematical rigor. I love the question-answer style she uses, and could see using this book for students ranging from undergraduate students with zero prior exposure to probability all the way to graduate students (or researchers of any kind) who need to brush up and significantly deepen (and/or broaden) their knowledge of probability.’ Anna Karlin, University of Washington

‘Probability is at the heart of modeling, design, and analysis of computer systems and networks. This book by a pioneer in the area is a beautiful introduction to the topic for undergraduate students. The material in the book introduces theoretical topics rigorously, but also motivates each topicwith practical applications. This textbook is an excellent resource for budding computer scientists who are interested in probability.’ R. Srikant, University of Illinois at Urbana-Champaign

‘I know probability theory, and have taught it to undergrads and grads at MIT, UC Berkeley, and Carnegie Mellon University. Yet this book has taught me some wonderfully interesting important material that I did not know. Mor is a great thinker, lecturer, and writer. I would love to have learned from this book as a student - and to have taught from it as an instructor!’ Manuel Blum, University of California, Berkeley, and Carnegie Mellon University