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Intro
Are you using Mahout to do Machine Learning? Care to share?
NOTE: Please add links in alphabetical order. Links here do NOT imply endorsement by Mahout, its committers or the Apache Software Foundation and are for informational purposes only.
Commercial Use
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Academic Use
- Dicode project uses Mahout's clustering and classification algorithms on top of HBase.
- The course Large Scale Data Analysis and Data Mining at TU Berlin uses Mahout to teach students about the parallelization of data mining problems with Hadoop and Map/Reduce
- Mahout is used at Carnegie Mellon University, as a comparable platform to GraphLab.
- The ROBUST project, co-funded by the European Commission, employs Mahout in the large scale analysis of online community data.
- Mahout is used for research and data processing at Nagoya Institute of Technology, in the context of a large-scale citizen participation platform project, funded by the Ministry of Interior of Japan.
- Several researches within Digital Enterprise Research Institute NUI Galway use Mahout for e.g. topic mining and modelling of large corpora.
- We used Mahout in the NoTube EU project, and it saved a lot of time (and a brain transplant). The only piece we've used heavily in our apps (http://vimeo.com/user3487770http://notube.tv/) so far is the Taste recommender, but I've been digging deeper into the other components. I can't claim we're a hugely famous or successful application, but I can say without doubt I don't regret using Mahout. It did what it said it would do, and easily. One nice thing about this community, is that Mahout is not
over-marketed. If the nature or scale of your problem better suits other tools, the Mahout folk will tell you so.
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