Factsheet
Developer Apache Software Foundation
Release 7 April 2009; 17 years ago (2009-04-07)
Stable release 14.1
/ 7 October 2020; 5 years ago (2020-10-07)
/ 7 October 2020; 5 years ago (2020-10-07)
Developer Apache Software Foundation
Release 7 April 2009; 17 years ago (2009-04-07)
Stable release 14.1
/ 7 October 2020; 5 years ago (2020-10-07)
/ 7 October 2020; 5 years ago (2020-10-07)
Apache Mahout
mahout.apache.org
Home | Apache Mahout
Apache Mahout builds an environment for quickly creating scalable, performant machine learning applications.
Wikipedia
en.wikipedia.org › wiki › Apache_Mahout
Apache Mahout - Wikipedia
June 7, 2026 - Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily ...
Videos
03:59
Harnessing the Power of Apache Mahout for Machine Learning: A ...
28:41
Introduction to Apache Mahout | Edureka - YouTube
#74 - ÚLTIMO VÍDEO SOBRE HADOOP E MAHOUT (NA ÍNTEGRA)
30:24
#72 - Instalando Apache Hadoop e Apache Mahout - YouTube
27:54
#73 - Instalando Apache Hadoop e Apache Mahout no Windows (10 ou ...
01:13:41
Apache Mahout Tutorial-1 | Apache Mahout Tutorial for Beginners-1 ...
GitHub
github.com › apache › mahout
GitHub - apache/mahout: Apache Mahout - an environment for quickly creating scalable, performant machine learning applications. · GitHub
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications. - apache/mahout
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Forked by 997 users
Languages Rust 50.6% | Python 40.8% | Cuda 5.1% | TypeScript 1.7% | CSS 0.6% | JavaScript 0.4%
JMLR
jmlr.org › papers › v21 › 18-800.html
Apache Mahout: Machine Learning on Distributed Dataflow Systems
Apache Mahout is a library for scalable machine learning (ML) on distributed dataflow systems, offering various implementations of classification, clustering, dimensionality reduction and recommendation algorithms. Mahout was a pioneer in large-scale machine learning in 2008, when it started ...
TutorialsPoint
tutorialspoint.com › mahout › mahout_introduction.htm
Mahout - Introduction
Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms.
e-Zest
e-zest.com › apache-mahout-implementation-services
Apache Mahout Implementation Services
The Apache Mahout project is a set of highly scalable machine learning libraries. Apache Mahout is designed to make business intelligence applications easier and faster, especially in the area of machine learning.
Cloudera Community
community.cloudera.com › t5 › Archives-of-Support-Questions › Why-the-Apache-Mahout-is-deprecated-and-what-s-the › td-p › 64978
Solved: Why the Apache Mahout is deprecated and what's the... - Cloudera Community - 64978
April 21, 2026 - Hi all, I have read in the Mahout Installation docs that it was deprecated since CDH 5.5 and it will be removed at CDH 6.0 as I see in the Deprecated items. Any idea about the why? and the alternatives? Thanks in advance. ... Briefly: Because Apache Spark is a capable - and far more powerful - replacement.
Gologica
gologica.com › course › apache-mahout
Machine Learning with Apache Mahout Online Training | Certification Course
Our Apache Mahout Online Training is a comprehensive course covering Mahout Introduction, machine learning, recommendations, classifiers, collaborative filtering, clustering.
Apache
projects.apache.org › project.html
Apache Mahout - Apache Projects
This site relies heavily on JavaScript. Please enable it or get a browser that supports it · Managed by the Apache Community Development Project. Copyright© the Apache Software Foundation. Licensed under the Apache License, Version 2.0 Apache® and the Apache logo are trademarks of The Apache ...
InfoQ
infoq.com › news › 2009 › 04 › mahout
Apache Mahout: Highly Scalable Machine Learning Algorithms - InfoQ
April 23, 2009 - Mahout is a library aimed at delivering scalable machine learning tools under the Apache license.
AWS
aws.amazon.com › blogs › big-data › building-a-recommender-with-apache-mahout-on-amazon-elastic-mapreduce-emr
Building a Recommender with Apache Mahout on Amazon Elastic MapReduce (EMR) | Amazon Web Services
July 27, 2022 - This is a guest post by Andrew Musselman, who as chief data scientist leads the global big data practice from the technical side at Accenture. He is a PMC member on the Apache Mahout project and is writing a book on data science for O’Reilly. Accenture is an APN Big Data Competency Partner.
Top answer 1 of 2
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This article is fairly thorough and has good examples: https://www.ibm.com/developerworks/java/library/j-mahout/index.html
2 of 2
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I used Mahout to implement a distributed recommender system. Our project was to develop a mobile platform to create collaborative filtering recommendations. We gathered data from the users and then used Mahout + Hadoop to make the recommendations.
The projects is described here
http://ceur-ws.org/Vol-676/paper9.pdf
http://egc2012.labri.fr/abstracts/139.pdf
And some of it in my blog here: http://girlincomputerscience.blogspot.com.br/
Howdy
howdy.com › glossary › apache-mahout
Apache Mahout | Howdy
Apache Mahout is an open-source machine learning library designed to facilitate scalable and distributed data processing. It provides algorithms for clustering, classification, and collaborative filtering, primarily intended to run on top of Hadoop using the MapReduce paradigm.
Amazon
amazon.com › Apache-Mahout-MapReduce-Dmitriy-Lyubimov › dp › 1523775785
Apache Mahout: Beyond MapReduce: Lyubimov, Dmitriy, Palumbo, Andrew: 9781523775781: Amazon.com: Books
Apache Mahout: Beyond MapReduce [Lyubimov, Dmitriy, Palumbo, Andrew] on Amazon.com. *FREE* shipping on qualifying offers. Apache Mahout: Beyond MapReduce