From dacf9047b225fd6204456df12f15a6323673deeb Mon Sep 17 00:00:00 2001 From: Hunter Stevens Date: Mon, 31 Aug 2015 08:47:36 -0400 Subject: [PATCH] Update free-courses-en.md Move links from free books to free courses. --- free-courses-en.md | 2 ++ free-programming-books.md | 1 - 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/free-courses-en.md b/free-courses-en.md index e9253c13b..4286ffdf6 100644 --- a/free-courses-en.md +++ b/free-courses-en.md @@ -129,9 +129,11 @@ * [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 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) * [Stanford Cryptography I](https://www.coursera.org/course/crypto) * [Stanford Cryptography II](https://www.coursera.org/course/crypto2) +* [Stanford SEE 229 - Machine Learning](https://see.stanford.edu/Course/CS229) ### OCaml diff --git a/free-programming-books.md b/free-programming-books.md index 261e2f03e..40410f1e1 100644 --- a/free-programming-books.md +++ b/free-programming-books.md @@ -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) * [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 -* [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) * [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/) * [Inductive Logic Programming](http://www-ai.ijs.si/SasoDzeroski/ILPBook/)