Question
What is the history of apache mahout? when did it start?
Answers
The Mahout project was started by several people involved in the Apache Lucene (open source search) community with an active interest in machine learning and a desire for robust, well-documented, scalable implementations of common machine-learning algorithms for clustering and categorization. The community was initially driven by Ng et al.’s paper “Map-Reduce for Machine Learning on Multicore” (see Resources) but has since evolved to cover much broader machine-learning approaches. Mahout also aims to:

Build and support a community of users and contributors such that the code outlives any particular contributor’s involvement or any particular company or university’s funding.
Focus on real-world, practical use cases as opposed to bleeding-edge research or unproven techniques.
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