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  • Mahout to Get Self-Optimizing Matrix Algebra Interface with Pluggable Backends for Spark and Flink

    At the recent GOTO conference in Berlin, Mahout committer Sebastian Schelter outlined recent advances in Mahout's ongoing effort to create a scalable foundation for data analysis that is as easy to use as R or Python.

  • Mahout 0.3: Open Source Machine Learning

    The need for machine-learning techniques like clustering, collaborative filtering, and categorization has steadily increased the last decade along with the number of solutions needing quick and efficient algorithms to transform vast amounts of raw data into relevant information. Apache Mount 0.3 has been announced on March, adding more functionality, stability and performance.

  • Apache Mahout: Highly Scalable Machine Learning Algorithms

    The Apache Mahout project, a set of highly scalable machine-learning libraries, recently announced it's first public release. InfoQ spoke with Grant Ingersoll, co-founder of Mahout and a member of the technical staff at Lucid Imagination, to learn more about this project and machine learning in general.

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