The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is.
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Crypto 101 is an introductory course on cryptography, freely available for programmers of all ages and skill levels.
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The authors’ goal is to provide insight into how to choose a programming style and structure a program, consistent with a given problem, so that it is maintainable and its components are reusable.
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This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a first or second year undergraduate course on mathematics for scientists and engineers.
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This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly.
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This book is written in the hope that presenting the engineering discipline underlying successful parallel-programming projects will free a new generation of parallel hackers from the need to slowly and painstakingly reinvent old wheels, enabling them to instead focus their energy and creativity on new frontiers.
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This book is the bare minimum guide helping you to start programming from scratch. In almost anything, the hardest part is to get the ball rolling. After reading this book you will be comfortable with programming.
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The goal of this book is simple. We want to take a look at something that naturally occurs in our physical world, then determine how we can write code to simulate that occurrence. In the end, if this book is anything, it is really just a good old-fashioned programming book.
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