* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf) (PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
* [A Course in Machine Learning](http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf) (PDF)
* [The Python Game Book](http://thepythongamebook.com/en:start)
####Mathematics
* [Think Bayes: Bayesian Statistics Made Simple](http://www.greenteapress.com/thinkbayes/) - Allen B. Downey
@ -523,6 +529,7 @@
* [The Boost C++ libraries](http://en.highscore.de/cpp/boost)
* [Practical Performance Profiling: Improving the efficiency of .NET code ](http://www.red-gate.com/products/dotnet-development/ants-performance-profiler/entrypage/practical-performance-profiling) *(RedGate, By Jean-Philippe Gouigoux)*
* [.NET Performance Testing and Optimization - The Complete Guide](http://download.red-gate.com/ebooks/DotNet/Perf_Test_and_opt_eBook.zip) *(RedGate, By Paul Glavich and Chris Farrell)*
* [HTTP Programming Recipes for C# Bots](http://www.heatonresearch.com/articles/series/20)
* [Game Creation with XNA](http://en.wikibooks.org/wiki/Game_Creation_with_XNA)
###NoSQL
@ -1035,6 +1043,7 @@ See also [TeX](#tex)
* [PHP with Guru99](http://www.smashwords.com/books/view/324888)