Apache Mahout is an open source project that is mainly used in generating scalable machine learning algorithms. This brief lesson is responsible for a quick outline to Apache Mahout and gives details how it can be applied to make recommendations and organize documents in more practical clusters.
This lesson has been organized for specialists ambitious to learn the basics of Mahout and develop applications involving machine learning techniques such as recommendation, classification, and clustering.
In advance you start ensuing with this lesson; we take on that you have previous exposure to Core Java, Hadoop, and any of the Linux operating system flavors.
Mahout Related Tutorials |
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Adv Java Tutorial | Hadoop Tutorial |
Apache Pig Tutorial | Apache Kafka Tutorial |
Apache Ant Tutorial | Apache ZooKeeper Tutorial |
MongoDB Tutorial | Apache Struts 2 Tutorial |
Mahout Related Practice Tests |
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Adv Java Practice Tests | Hadoop Practice Tests |
Apache HBase Practice Tests | MongoDB Practice Tests |
Mahout Tutorial
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