Think Stats: Probability and Statistics for Programmers
The vocabulary and notation in this book are gener-ally consistent with Wikipedia, unless I had a good reason to deviate. Other resources I found useful were Wolfram MathWorld and (of course) Google. I also used two books, David MacKay’s Information Theory, In-ference, and Learning Algorithms, which is the book that got me hooked on
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Think Stats - Green Tea Press
greenteapress.comvi Chapter 0. Preface This book takes a computational approach, which has several advantages over mathematical approaches: I present most ideas using Python code, rather than mathematical
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Think Python - Green Tea Press
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Think Complexity - Green Tea Press – Free books …
greenteapress.comPreface 0.1 Why I wrote this book This book is inspired by boredom and fascination: boredom with the usual presentation of data structures and algorithms, and fascination with complex systems.
TheLittleBookofSemaphores - Green Tea Press
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greenteapress.comto the AP questions. On the other hand, if you understand the concepts in this book, along with the details of programming in C++, you will have all the tools you need to do well on the exam. 1.1 What is a programming language? The programming language you will be learning is C++, because that is the language the AP exam is based on, as of 1998.
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