- Read the [TODO](/TODO.md) file(Adding new books is our #1 priority, but things like Alphabetizing are important, too.)
- Edit (we prefer multiple small commits rather than one large change)
- [Send a PR](https://help.github.com/articles/using-pull-requests)
- be part of a project that over 17,000 people starred in 4 months. ;)
- be part of a project that over 18,000 people starred in 4 months. ;)
**Again, unlike other projects, we prefer multiple small commits rather than one large change in a pull request - it's fine to have one PR, but please make sure your title reflects what you're changing**, thanks.
* [Multi-tenant Applications for the Cloud, 3rd Edition](http://www.microsoft.com/en-us/download/details.aspx?id=29263)
####Compiler Design
* [Basics of Compiler Design (Anniversary Edition](http://www.diku.dk/~torbenm/Basics/) - Torben Mogensen
* [Compilers and Compiler Generators: An Introduction with C++](http://www.scifac.ru.ac.za/compilers/) - P. D. Terry
@ -269,7 +275,6 @@
* [Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html) - Jeffrey Stanton
* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
* [School of Data Handbook](http://schoolofdata.org/handbook/)
* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
@ -289,6 +294,7 @@
* [A Course in Machine Learning](http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf) (PDF)
* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF)
* [AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java](http://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdf) - George F. Luger, William A Stubblefield
* [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
* [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
@ -301,7 +307,12 @@
* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
* [Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [The Python Game Book](http://thepythongamebook.com/en:start)
* [The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)
* [Introduction to Machine Learning](http://arxiv.org/abs/0904.3664v1)
* [Network programming with Go](http://jan.newmarch.name/go/)
* [The Go Tutorial](http://golang.org/doc/go_tutorial.html)
###Gradle
@ -886,6 +897,7 @@
###Java
* [Agile Java](http://www.langrsoft.com/ftp/agileJava/) - Jeff Langr
* [Animation/Games in Java](http://www.heatonresearch.com/articles/series/3)
* [Apache Jakarta Commons: Reusable Java Components](http://ptgmedia.pearsoncmg.com/images/0131478303/downloads/Iverson_book.pdf) - Will Iverson
* [Artificial Intelligence - Foundation of Computational Agents](http://artint.info/html/ArtInt.html)
@ -940,6 +952,7 @@
* [JavaScript Garden](http://bonsaiden.github.io/JavaScript-Garden/) (Maintained by Tim Ruffles)
* [JavaScript Patterns Collection](http://shichuan.github.io/javascript-patterns/) - Shi Chuan
* [Javascript Succinctly, Syncfusion](http://www.syncfusion.com/resources/techportal/ebooks/javascript) (PDF, Kindle) *(Just fill the fields with any values)*
* [Javascript the Right Way](https://github.com/braziljs/js-the-right-way)
Espartaco Palma
11 years ago