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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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Cracking Codes with Python 2nd Edition

Many books teach beginners how to write secret messages using ciphers. A couple of books teach beginners how to hack ciphers. But no books teach beginners how to program computers to hack ciphers. This book fills that gap.

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Simply Scheme: Introducing Computer Science

In computer science, beginning courses are trapped in an approach that was already ten years out of date by the time it was canonized in the mid 80s. This book points the way out of the trap. It emphasizes programming as a way to express ideas, rather than just a way to get computers to perform tasks.

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The Future of News As We Know It

There is far more that matters than any one of us can follow. In most cases, the limiting factor in journalism is not what was reported but the attention we can pay to it. Yet we still need news. Something’s got to give. So what if we abandon the idea that everyone sees the same stories?

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Real World Haskell

Haskell is a deep language, and learning it is a hugely rewarding experience. In this ebook, you’ll approach programming from a different and valuable perspective. You’ll also learn how to create software that is short, fast, and safe. Lastly, you’ll have the pleasure of applying beautiful programming techniques to solve real problems.

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