Apache Mahout

For Creating Scalable Performant Machine Learning Applications

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Currently v14.1

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. Apache Spark is the recommended out-of-the-box distributed back-end, or can be extended to other distributed backends.

  • Mathematically Expressive Scala DSL
  • Support for Multiple Distributed Backends (including Apache Spark)
  • Modular Native Solvers for CPU/GPU/CUDA Acceleration

Recent News

November 20, 2020

Weekly Meeting Minutes 2020-11-20

Weekly community meeting minutes.

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November 13, 2020

Weekly Meeting Minutes 2020-11-13

Weekly community meeting minutes.

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November 06, 2020

Weekly Meeting Minutes 2020-11-06

Weekly community meeting minutes.

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October 30, 2020

Weekly Meeting Minutes 2020-10-30

Topic: Apache Mahout Wikipedia Page

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October 18, 2020

14.1 Is Released!

Oh happy day! A lot of work went into this release with getting the build system to work again so that we can release binaries. There really weren’t too many...

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