This hands-on tutorial aims at learning the basics of the important machine learning algorithms in Mahout. It aims to help you get it up and running on a Hadoop cluster. Mahout is open source implementation of a collection of algorithms designed from ground up to sift through terabytes of data and help bring out important patterns which are otherwise not in the reach of standard tools.
Committer on Apache Mahout, Product Architect at MapR, ex-Chief Scientist at Veoh, Musicmatch. bio from Twitter
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