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Available on Alibaba Marketplace and powered by Miri Infotech, Apache Mahout is aimed to produce free implementations of distributed or otherwise scalable machine learning algorithms which primarily focus on the areas of collaborative filtering, clustering, and classification. It also provides Java libraries for common math operations (focused on linear algebra and statistics) as well as primitive Java collections. A lot of the implementations use the Apache Hadoop platform. Mahout implements popular machine learning techniques such as,
Miri Infotech, one of the leading IT solutions providers is launching a product which will configure and publish Mahout, to produce free implementations of distributed or otherwise scalable machine learning algorithms which are embedded pre-configured tool with Ubuntu and ready-to-launch AMI on Alibaba Cloud Network that contains Mahout, Hadoop, Scala, Sparks.
Mahout scalability:
Mahout's core algorithms are implemented for classification, clustering, and batch based collaborative filtering on top of Apache Hadoop, not restricting contributions to Hadoop-based implementations. Once big data is stored on the Hadoop Distributed File System (HDFS), Mahout provides the data science tools to automatically discover meaningful patterns in those big data sets. Mahout machine learning basically aims to make it easier and faster to turn big data into big information.
Features of Mahout
For more info- https://www.cloud.miritech.com/Alibaba%20Cloud/Mahout.aspx
CLICK HERE to view the detailed user guide for more information. For more information about the product, please visit the Product Page.