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 www.greaterwrong.com
Exposition as science: some ideas for how to make progress - LessWrong 2.0 viewer
| | emanueleviola.wordpress.com
mathematics of the impossible: About this book - Thoughts
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| | This is a book about computational complexity theory. However, it is perhaps sui generis for various reasons: 1. The presentation is also geared towards an algorithmic audience. Our default model is the RAM (Chapter 1), the standard model for algorithmic research. This is in contrast with other texts which focus on tape machines. I reduce...
| | data36.com
Aspiring Data Scientists! Start to learn Statistics with these 6 books! - Data36
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| | Statistics is difficult.Of course it is, as it's most of the actual science part in data science. But that doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. In this article, I am going to list 6 books that I recommend starting with if you want to learn [...]
| | fbeedle.com
Discrete Mathematics and Functional Programming
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| | This book provides a distinct way to teach discrete mathematics. Since discrete mathematics is crucial for rigorous study in computer science, many texts include applications of mathematical topics to computer science or have selected topics of particular interest to computer science.
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
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| This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.