Miri Infotech | Mahout powered by Miri Infotech
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Mahout powered by Miri Infotech
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 1. Support for Sophisticated Analytics, Real Time Stream Processing 2. Scala is object-oriented, Scala can do Concurrent & Synchronize processing, Scala runs on the JVM 3. The algorithms of Mahout are written on top of Hadoop, so it works well in distributed environment. Mahout uses the Apache Hadoop library to scale effectively in the cloud.

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,

  • Recommendation
  • Classification
  • Clustering

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:

  • Scalable to large data sets
  • Scalable to support different business cases
  • Scalable community to facilitate discussions

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

  • The algorithms are written on top of Hadoop to make it work well in the distributed environment.
  • It uses the Hadoop library to scale effectively in the cloud.
  • It offers the coders a ready-to-use framework for data mining for large volumes of data.
  • It lets applications analyze large sets of data effectively and efficiently.
  • Supports Distributed Naive Bayes along with Complementary Naive Bayes classification implementations.
  • It comes with distributed fitness function capabilities for the evolutionary programming.
  • Includes matrix & vector libraries.

 

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.