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.
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).
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.
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In computer science, beginning courses are trapped in an approach that was already ten years out of date by the time it was canonized in the mid 80s.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.
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.
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?