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Added Introduction to Data Science and A First Course in Linear Algebra
Added complete titles as part of 'The Architecture of Open Source Applications'. Moved entry to be with 'The Performance of Open Source Applications' which is in the same series.
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* [Innovation Happens Elsewhere](http://dreamsongs.com/IHE/IHE.html)
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* [Producing Open Source Software](http://producingoss.com/)
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* [The Cathedral and the Bazaar](http://www.catb.org/esr/writings/cathedral-bazaar/)
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* [The Architecture of Open Source Applications](http://www.aosabook.org/en/index.html)
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* [The Future of the Internet](http://futureoftheinternet.org/)
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* [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)
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* [The Performance of Open Source Applications](http://aosabook.org/en/)
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####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)
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* [Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf) (PDF)
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* [Data Mining Algorithms In R](http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R)
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* [Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html)
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####Machine Learning
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* [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
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* [Advanced Data Analysis from an Elementary Point of View](http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/)
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* [Probability and Statistics Cookbook](http://matthias.vallentin.net/probability-and-statistics-cookbook/)
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* [A First Course in Linear Algebra](http://linear.ups.edu/)
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####Misc
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* [97 Things Every Programmer Should Know](http://programmer.97things.oreilly.com/)
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