Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.
Build custom machine learning algorithms at scale
Apache Mahout is an open-source platform for distributed linear algebra and machine learning, making it easier for data scientists, mathematicians, and developers to implement custom algorithms. With its mathematically expressive Scala DSL, you can quickly prototype and deploy scalable data analysis solutions.
The platform is designed to work seamlessly with distributed computing backends like Apache Spark but is also flexible enough to extend to other environments. Whether you're working on research, prototyping, or building production-grade analytics, Mahout provides the tools and documentation to help you get started and go deeper.
If you're looking to create your own machine learning algorithms or explore advanced data analysis at scale, Mahout offers a user-friendly framework, helpful guides, and active community support to guide your projects from start to finish.
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