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
|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 Interview Questions
|Adv Java Interview Questions||Hadoop Interview Questions|
|Apache Pig Interview Questions||Apache Kafka Interview Questions|
|Apache Ant Interview Questions||Apache ZooKeeper Interview Questions|
|MongoDB Interview Questions||Advanced SAS Interview Questions|
|Apache Struts 2 Interview Questions||Base Sas Interview Questions|
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