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This book talks about the history and evolution of algorithms from the very beginning, talking about particular problems and the different approaches scientists, mathematicians and others have adopted in trying to solve these issues. This book is clever in how it can get the reader to see a general problem and showing them how it can be broken down into different categories that a computer can solve, and how the thinking to solve that problems can solve other problems. This is a key skill to have in fields such as applied mathematics and computer science and gets the reader thinking about problems in the right way.
This book is a well-made translation of the algorithmic thinking used by computer scientists into plain-English. I like the author's style of writing because it is straight to the point and accessible for laypeople. He make hard concepts easy to understand and uses a lot of examples throughout the book. Amazing piece of work!
This was a great book, I flew through it. It was structured, one topic explored pretty thoroughly per chapter, and more importantly they were all interesting. The writing style was easy to read and funny, detailed enough that I felt like I had a good grasp of the content without getting to technical. I'd recommend this to anyone who's curious about computer programming, or math in general.
This was a great read, it made me grab my pen several times to jot down stuff that I wanted to look into further later on. There are several interesting topics discussed throughout the book including Bayes Theorem, Game Theory and Optimal Stopping problems. All topics I briefly had touched upon at school but long had forgotten, I really wish I had the authors as my teachers because they truly do engross you with their real-world practical examples! That and their humourous storytelling makes this something I really would recommend.
This is an outstanding book in those I have read recently. It's worthwhile from both perspectives: how computer science applies to other areas, but also in better understanding computer science concepts.