Crystal for Rubyists
In this book, we’ll talk about why you should care about Crystal, how to get up and running, the basics of writing software in Crystal, and maybe even something like building a Ruby gem with Crystal.
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Gaussian Processes for Machine Learning
In this book we will be concerned with supervised learning, which is the problem of learning input-output mappings from empirical data (the training dataset). Depending on the characteristics of the output, this problem is known as either regression, for continuous outputs, or classification, when outputs are discrete.
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Modern Computer Arithmetic
This is a book about algorithms for performing arithmetic, and their implementation on modern computers. It collects in the same document all state-of-the-art algorithms in multiple precision arithmetic (integers, integers modulo n, floating-point numbers).
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Programming on Parallel Machines
A different parallel programming ebook aimed more on the practical end of things. You need to be reasonably adept in programming, and has math background through linear algebra.
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Foundations of Computer Science
A book to give beginning computer science majors a solid foundation for further study. It is also to give students who will not take advanced courses in computer science the conceptual tools that the field provides.
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Elementary Algorithms
While there have been already a lot of wonderful books about algorithms, data structures and math, however, few of them provide the comparison between the procedural solution and the functional solution. It can be found that functional solution sometimes is very expressive and they are close to what we are familiar in mathematics.
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Bayesian Statistics Made Simple
The premise of this book, is that if you know how to program, you can use that skill to learn other topics. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.
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Probabilistic Programming and Bayesian Methods for Hackers
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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