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Apache Mahout deals with machine learning and this project intends to make a potent tool to build intelligent applications easier and faster. While learning about a topic, it is pretty natural for students to complete assignments on that topic and here, some students face major difficulties. They face different types of problems due to which the homework writers of BookMyEssay come forward to provide them assistance related to completing papers on various topics. So, when students take Apache Mahout assignment help from us, they can manage to keep botheration at bay.

What is Apache Mahout?

Apache Mahout is recognized as a mathematically expressive Scala DSL and distributed linear algebra framework which has been formed for letting statisticians, data scientists, and mathematicians implement their individual algorithms. Mahout is a project that is owned by Apache Software Foundation.

Actually, a mahout is recognized as a person who does drive an elephant being its master and this name has been derived from its close link with Apache Hadoop that utilizes an elephant in the form of its logo. Apache Hadoop is an open-source framework which permits storing and processing huge data in the distributed environments all across several computers through the utilization of modest programming models. We understand our students’ problem very well and so, provide Apache Mahout case study assignment help from scratch.

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Uses of Mahout

Mahout is commonly used to create a scalable machine learning algorithm, and it does implement well-known machine learning methods, like, recommendation, classification, and clustering. In the year 2008, Apache Mahout begun in the form of Apache Lucene’s sub-project and in the year 2010, it turned into a top-level project from the house of Apache. We can provide Apache Flume research paper writing help from our qualified writer.

Features that Mahout has

The chief features of Mahout are mentioned below:

  • The Mahout’s algorithms are mentioned on Hadoop’s top and so it works excellently well in a distributed surrounding. Mahout makes use of the Hadoop library for scaling in the cloud effectively.
  • Apache Mahout permits applications to examine huge sets of data and that too quickly.
  • Mahout also proposes coders a ready to use framework to accomplish data mining jobs on a huge volume of data.
  • Mahout supports Complementary Naive Bayes and Distributed Naive Bayes classification implementations.
  • Apache Mahout is found with distributed function capacities meant for evolutionary programming.
  • Mahout comprises many MapReduce allowed clustering implementations, like fuzzy k-means, Mean-Shift, Dirichlet, Canopy, and k-means.
  • Mahout also comprises vector and matrix libraries.

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Different Applications of Apache Mahout

  • Yahoo does use Mahout for the purpose of pattern mining.
  • Twitter uses Mahout to make user interest modeling.
  • Companies, like LinkedIn, Adobe, Twitter, Yahoo, Foursquare, and Facebook do use Mahout internally.
  • Foursquare is helpful to you to locate food, places, and entertainment which are obtainable in a specific place and it makes use of Mahout’s recommender engine.

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The Scalability of Mahout

  • Scalable to a huge data set – The core algorithms of Apache Mahout are implemented on a large distributed and scalable system.
  • Scalable for supporting various business cases – Mahout is distributed under a friendly license called Apache Software License.
  • Scalable community – The presence of a diverse, vibrant, vast, and responsive community that facilitates discussions on a project and its probable use cases.

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