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

July 17, 2024

Meeting Minutes

Weekly community meeting Subscribe to the Mahout User list to ask for details on joining.

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May 08, 2024

Meeting Minutes

Weekly community meeting Subscribe to the Mahout User list to ask for details on joining.

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April 24, 2024

Meeting Minutes

Weekly community meeting Subscribe to the Mahout User list to ask for details on joining.

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April 17, 2024

Meeting Minutes

Weekly community meeting Subscribe to the Mahout User list to ask for details on joining.

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April 03, 2024

Meeting Minutes

Weekly community meeting Subscribe to the Mahout User list to ask for details on joining.

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