Apache Mahout

What Does Apache Mahout Mean?

Apache Mahout is a project of the Apache Software Foundation which is implemented on top of Apache Hadoop and uses the MapReduce paradigm.


It is also used to create implementations of scalable and distributed machine learning algorithms that are focused in the areas of clustering, collaborative filtering and classification. Mahout contains Java libraries for common math algorithms and operations focused on statistics and linear algebra, as well as primitive Java collections.

Techopedia Explains Apache Mahout

Apache Mahout is all about machine learning and the project is aimed at making a powerful tool for building intelligent applications faster and easier.

This used to be the exclusive domain of academics and corporations with large research budgets, but in today’s data-driven world, the need for intelligent applications that can learn from data and user data is increasing.

Apache Mahout is used for creating applications with machine-learning techniques such as clustering, categorization, and collaborative filtering for finding commonalities in large data groups or for tagging large volumes of web content.

Mahout scalability:

  • Scalable to large data sets – the core algorithms are implemented on large scalable, distributed systems.
  • Scalable to support different business cases – distributed under commercially friendly Apache Software License
  • Scalable community – there is a vast, vibrant, diverse and responsive community to facilitate discussions on the project and its potential use cases.

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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…