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Merge pull request #306 from lluang/master

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Added Introduction to Data Science and A First Course in Linear Algebra
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vhf / victor felder 11 years ago
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@ -261,8 +261,8 @@
* [Innovation Happens Elsewhere](http://dreamsongs.com/IHE/IHE.html) * [Innovation Happens Elsewhere](http://dreamsongs.com/IHE/IHE.html)
* [Producing Open Source Software](http://producingoss.com/) * [Producing Open Source Software](http://producingoss.com/)
* [The Cathedral and the Bazaar](http://www.catb.org/esr/writings/cathedral-bazaar/) * [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 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/) * [The Performance of Open Source Applications](http://aosabook.org/en/)
####Information Retrieval ####Information Retrieval
@ -277,6 +277,7 @@
* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining) * [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) * [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) * [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 ####Machine Learning
* [Programming Computer Vision with Python](http://programmingcomputervision.com/) * [Programming Computer Vision with Python](http://programmingcomputervision.com/)
@ -301,6 +302,7 @@
* [Essentials of Metaheuristics](http://cs.gmu.edu/~sean/book/metaheuristics/) by Sean Luke * [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/) * [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/) * [Probability and Statistics Cookbook](http://matthias.vallentin.net/probability-and-statistics-cookbook/)
* [A First Course in Linear Algebra](http://linear.ups.edu/)
####Misc ####Misc
* [97 Things Every Programmer Should Know](http://programmer.97things.oreilly.com/) * [97 Things Every Programmer Should Know](http://programmer.97things.oreilly.com/)

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