Difference between revisions of "Mahout"
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== Literature == | == Literature == | ||
| − | * Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman: ''[http://www.manning.com/owen/ Mahout in Action]'', Manning, 2011. | + | * [[Sean Owen]], Robin Anil, [[Ted Dunning]], Ellen Friedman: ''[http://www.manning.com/owen/ Mahout in Action]'', Manning, 2011. |
== External links == | == External links == | ||
| Line 12: | Line 12: | ||
* [[Wikipedia: Apache Mahout]] | * [[Wikipedia: Apache Mahout]] | ||
* ''[http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/ Deploying a massively scalable recommender system with Apache Mahout]'', blog post by [[Sebastian Schelter]] | * ''[http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/ Deploying a massively scalable recommender system with Apache Mahout]'', blog post by [[Sebastian Schelter]] | ||
| + | * [https://github.com/vasinov/jruby_mahout JRuby Mahout] | ||
| + | [[Category: Java]] | ||
| + | [[Category: Ruby]] | ||
[[Category: Software]] | [[Category: Software]] | ||
Latest revision as of 08:25, 21 December 2012
Apache Mahout is a scalable machine learning library that supports large data sets. Mahout also contains implementations of several collaborative filtering algorithms.
Mahout is written in Java, parts of it are written using the MapReduce programming paradigm in order to enable large scale distribution of algorithmic computation using Apache Hadoop.
Literature
- Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman: Mahout in Action, Manning, 2011.
