*[Producing Open Source Software](http://producingoss.com/)
*[The Cathedral and the Bazaar](http://www.catb.org/esr/writings/cathedral-bazaar/)
*[The Architecture of Open Source Applications](http://www.aosabook.org/en/index.html)
*[The Future of the Internet](http://futureoftheinternet.org/)
*[The Architecture of Open Source Applications: Vol. 1: Elegance, Evolution, and a Few Fearless Hacks; Vol. 2: Structure, Scale, and a Few More Feerless Hacks](http://www.aosabook.org/en/index.html)
*[The Performance of Open Source Applications](http://aosabook.org/en/)
####Information Retrieval
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*[Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
*[Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf)(PDF)
*[Data Mining Algorithms In R](http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R)
*[Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html)
####Machine Learning
*[Programming Computer Vision with Python](http://programmingcomputervision.com/)
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*[Essentials of Metaheuristics](http://cs.gmu.edu/~sean/book/metaheuristics/) by Sean Luke
*[Advanced Data Analysis from an Elementary Point of View](http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/)
*[Probability and Statistics Cookbook](http://matthias.vallentin.net/probability-and-statistics-cookbook/)
*[A First Course in Linear Algebra](http://linear.ups.edu/)
####Misc
*[97 Things Every Programmer Should Know](http://programmer.97things.oreilly.com/)