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Added a couple of database, datamining and information retrieval books
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####Database
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####Database
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* [Database Fundamentals](http://public.dhe.ibm.com/software/dw/db2/express-c/wiki/Database_fundamentals.pdf) (PDF)
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* [Database Fundamentals](http://public.dhe.ibm.com/software/dw/db2/express-c/wiki/Database_fundamentals.pdf) (PDF)
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* [Database-backed Web Sites](http://philip.greenspun.com/wtr/dead-trees/)
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* [Database-backed Web Sites](http://philip.greenspun.com/wtr/dead-trees/)
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* [Foundations of Databases](http://webdam.inria.fr/Alice/)
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* [The Theory of Relational Databases] (http://web.cecs.pdx.edu/~maier/TheoryBook/TRD.html)
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####Networking
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####Networking
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* [High-Performance Browser Networking](http://chimera.labs.oreilly.com/books/1230000000545/index.html)
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* [High-Performance Browser Networking](http://chimera.labs.oreilly.com/books/1230000000545/index.html)
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####Information Retrieval
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####Information Retrieval
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* [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/information-retrieval-book.html)
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* [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/information-retrieval-book.html)
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* [Information Retrieval: A Survey](http://www.csee.umbc.edu/csee/research/cadip/readings/IR.report.120600.book.pdf) (PDF)
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####Datamining
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####Datamining
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* [Data Mining and Analysis: Fundamental Concepts and Algorithms](http://www.dataminingbook.info/DokuWiki/doku.php) (Draft)
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* [Data Mining and Analysis: Fundamental Concepts and Algorithms](http://www.dataminingbook.info/DokuWiki/doku.php) (Draft)
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* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
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* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
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* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/)
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* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/)
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* [A Programmer's Guide to Data Mining](http://guidetodatamining.com/) (Draft)
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* [A Programmer's Guide to Data Mining](http://guidetodatamining.com/) (Draft)
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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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####Machine Learning
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####Machine Learning
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* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
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* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
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@ -875,7 +881,7 @@ See also [TeX](#tex)
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* [R for spatial analysis](http://www.columbia.edu/~cjd11/charles_dimaggio/DIRE/resources/spatialEpiBook.pdf) (PDF)
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* [R for spatial analysis](http://www.columbia.edu/~cjd11/charles_dimaggio/DIRE/resources/spatialEpiBook.pdf) (PDF)
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* [Learning Statistics with R](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/)
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* [Learning Statistics with R](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/)
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* [R language for Programmers](http://www.johndcook.com/R_language_for_programmers.html)
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* [R language for Programmers](http://www.johndcook.com/R_language_for_programmers.html)
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* [R Programming](http://en.wikibooks.org/wiki/R_Programming)
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###Racket
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###Racket
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* [Programming Languages: Application and Interpretation](http://cs.brown.edu/courses/cs173/2012/book/index.html)
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* [Programming Languages: Application and Interpretation](http://cs.brown.edu/courses/cs173/2012/book/index.html)
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