*[Data Mining Algorithms In R](https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R)
*[Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf)(PDF)
*[Introduction to Data Science](https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?pli=1) - Jeffrey Stanton
*[Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
*[Mining of Massive Datasets](http://www.mmds.org/)
*[School of Data Handbook](http://schoolofdata.org/handbook/)
*[Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
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@@ -390,7 +390,6 @@
*[A First Course in Linear Algebra](http://linear.ups.edu) - Robert A. Beezer
*[Advanced Algebra](http://www.math.stonybrook.edu/~aknapp/download/a2-alg-inside.pdf) - Anthony W. Knapp (PDF)
*[An Introduction to Statistics](http://work.thaslwanter.at/Stats/html/) - Thomas Haslwanter (using Python)
*[Basic Algebra](http://www.math.stonybrook.edu/~aknapp/download/b2-alg-inside.pdf) - Anthony W. Knapp (PDF)
*[Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Cameron Davidson-Pilon
*[Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) - Silvanus P. Thompson (PDF)
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@@ -531,7 +530,6 @@
*[The Cathedral and the Bazaar](http://www.catb.org/esr/writings/cathedral-bazaar/) - Eric S. Raymond
*[The Future of the Internet](http://futureoftheinternet.org)
*[The Open Source Way](http://www.theopensourceway.org/book/)
*[The Performance of Open Source Applications](http://aosabook.org/en/)
*[The Wealth of Networks: How Social Production Transforms Markets and Freedom](http://cyber.law.harvard.edu/wealth_of_networks/Main_Page) - Yochai Benkler
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@@ -556,7 +554,6 @@
*[High Performance Computing](http://cnx.org/contents/bb821554-7f76-44b1-89e7-8a2a759d1347%405.2) - Charles Severance & Kevin Dowd (PDF, ePUB)
*[High-Performance Scientific Computing](http://bit.ly/hpc12)(class lectures and slides)
*[How to Write Parallel Programs](http://www.lindaspaces.com/book/)
*[Introduction to High-Performance Scientific Computing](http://pages.tacc.utexas.edu/~eijkhout/istc/istc.html) - Victor Eijkhout
*[Introduction to Parallel Computing](https://computing.llnl.gov/tutorials/parallel_comp/) - Blaise Barney
*[Is Parallel Programming Hard, And, If So, What Can You Do About It?](https://www.kernel.org/pub/linux/kernel/people/paulmck/perfbook/perfbook.html) - Paul E. McKenney
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@@ -605,8 +602,8 @@
#### Security
*[Crypto 101 - Crypto for everyone](https://www.crypto101.io)
