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2012/01/15 22:02 majlis 2012/01/13 11:13 majlis vytvořeno Go Next revision		Previous revision 2012/01/15 22:02 majlis 2012/01/13 11:13 majlis vytvořeno Go
courses:mapreduce-tutorial:introduction [2012/01/13 11:13] majlis vytvořeno		courses:mapreduce-tutorial:introduction [2012/01/15 22:02] (current) majlis
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	There is also a paper about implementing various machine learning algorithms (SVM, EM, Bayes, etc.) using MapReduce on multicore, which is applicable also for distributed computations: [[http://fox.auryn.cz/mr/machine_learning_using_mr_nips06.pdf]].		There is also a paper about implementing various machine learning algorithms (SVM, EM, Bayes, etc.) using MapReduce on multicore, which is applicable also for distributed computations: [[http://fox.auryn.cz/mr/machine_learning_using_mr_nips06.pdf]].
		+
		+
		+	----
		+
		+	===== Code Template =====
		+
		+	There is also available code template for installing and executing hadoop on ufal workstations.
		+	''
		+	wget 'http://ufallab.ms.mff.cuni.cz/~majlis/mapreduce-tutorial.tar.gz'
		+	tar -xzf mapreduce-tutorial.tar.gz
		+	cd mapreduce-tutorial
		+	make
		+	''
		+
		+	This template is tested in UFAL environment. If you plan to use this code outside, then you should fix the first two lines in the Makefile. It also contains Eclipse project with set up paths.

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