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Move links from free books to free courses.
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* [MIT´s Computer Language Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-035-computer-language-engineering-sma-5502-fall-2005/lecture-notes/) * [MIT´s Computer Language Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-035-computer-language-engineering-sma-5502-fall-2005/lecture-notes/)
* [MIT´s Introduction to Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/) * [MIT´s Introduction to Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/)
* [MIT´s Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/) * [MIT´s Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/)
* [MIT Numerical Methods (2014)](http://www.iitg.ernet.in/kartha/CE601-14/CourseSchedule.htm)
* [Principles of Reactive Programming](https://www.coursera.org/course/reactive) * [Principles of Reactive Programming](https://www.coursera.org/course/reactive)
* [Stanford Cryptography I](https://www.coursera.org/course/crypto) * [Stanford Cryptography I](https://www.coursera.org/course/crypto)
* [Stanford Cryptography II](https://www.coursera.org/course/crypto2) * [Stanford Cryptography II](https://www.coursera.org/course/crypto2)
* [Stanford SEE 229 - Machine Learning](https://see.stanford.edu/Course/CS229)
### OCaml ### OCaml

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@ -355,7 +355,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF) * [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF)
* [AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java](http://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdf) - George F. Luger, William A Stubblefield * [AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java](http://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdf) - George F. Luger, William A Stubblefield
* [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani * [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
* [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage) * [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/) * [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
* [Inductive Logic Programming](http://www-ai.ijs.si/SasoDzeroski/ILPBook/) * [Inductive Logic Programming](http://www-ai.ijs.si/SasoDzeroski/ILPBook/)