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Added Andrew Ng's course notes; updated broken link
Ng's materials include problem sets, solutions, handouts/notes, and video lectures. Fixed broken link for PL/SQL Obsession.
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* [Introduction to Machine Learning](http://alex.smola.org/drafts/thebook.pdf) (PDF)
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* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
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* [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
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* [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
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####Mathematics
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* [Think Bayes: Bayesian Statistics Made Simple](http://www.greenteapress.com/thinkbayes/) - Allen B. Downey
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@ -707,7 +708,7 @@ See also [TeX](#tex)
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###Oracle PL/SQL
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* [PL/SQL Language Reference](http://download.oracle.com/docs/cd/E11882_01/appdev.112/e17126/toc.htm)
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* [PL/SQL Packages and Types Reference](http://download.oracle.com/docs/cd/E11882_01/appdev.112/e16760/toc.htm)
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* [Steven Feuerstein's PL/SQL Obsession - Videos and Presentations](http://www.toadworld.com/Knowledge/DatabaseKnowledge/StevenFeuersteinsPLSQLObsession/tabid/153/Default.aspx)
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* [Steven Feuerstein's PL/SQL Obsession - Videos and Presentations](http://www.toadworld.com/platforms/oracle/w/wiki/8243.plsql-obsession.aspx)
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###Parrot / Perl 6
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