提交 614b6c09 编写于 作者: V Victor Felder

Move machine learning to language agnosic ssection

上级 6079cb06
......@@ -186,6 +186,15 @@
####Datamining
* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
####Machine Learning
* [Programming Computer Vision with Python](https://github.com/dolaameng/free-programming-books.git)
* [A Course in Machine Learning](http://hackershelf.com/book/492/a-course-in-machine-learning/)
* [Bayesian Methods for Hackers](http://hackershelf.com/book/455/bayesian-methods-for-hackers/)
* [Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Introduction to Machine Learning](http://alex.smola.org/drafts/thebook.pdf)
* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
####Mathematics
* [Think Bayes: Bayesian Statistics Made Simple](http://www.greenteapress.com/thinkbayes/) - Allen B. Downey
* [Think Stats: Probability and Statistics for Programmers](http://greenteapress.com/thinkstats/) (code written in Python) - Allen B. Downey
......@@ -830,12 +839,3 @@
###Windows Phone
* [Programming Windows Phone 7](http://blogs.msdn.com/b/microsoft_press/archive/2010/10/28/free-ebook-programming-windows-phone-7-by-charles-petzold.aspx)
###Machine Learning
* [Programming Computer Vision with Python](https://github.com/dolaameng/free-programming-books.git)
* [A Course in Machine Learning](http://hackershelf.com/book/492/a-course-in-machine-learning/)
* [Bayesian Methods for Hackers](http://hackershelf.com/book/455/bayesian-methods-for-hackers/)
* [Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Introduction to Machine Learning](http://alex.smola.org/drafts/thebook.pdf)
* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
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