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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.
5 ημέρες πριν · Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms.
15 Οκτ 2013 · The simple answer is that from a Mahout point of view classifying images is no different than classifying any other type of data. You find a suitable set of features to describe your data, and then: train, validate, test, and deploy.
1 Ιαν 2019 · Apache Mahout (http://mahout.apache.org) is a distributed linear algebra framework that includes a mathematically expressive domain-specific language (DSL). It is designed to aid mathematicians, statisticians, and data scientists to quickly implement numerical algorithms while focusing on the mathematical concepts in their work, rather than on ...
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.
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 focused on Apache Spark .
Who we are – who are the developers behind Apache Mahout? Books, Tutorials, Talks, Articles, News, Background Reading, etc. on Mahout Issue Tracker – see what features people are working on, submit patches and file bugs.
