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Distributed Linear Algebra with Apache Mahout
Matrix Math
Getting Started with Mahout
Mahout can be added to your project by adding it as an Apache Maven dependency, by running a prebuilt Docker image, or by downloading a binary [3] or a source build [4] from the project website. To get involved with the project as a user or contributor, subscribe to user@mahout.apache.org and dev@mahout.apache.org mailing lists (instructions online [5]). For some alternative methods for installing and using the software, including a prebuilt Docker image, see the slide presentation at SlideShare [6].
Infos
- Samsara: https://mahout.apache.org/docs/latest/mahout-samsara/faq.html
- "Denoising COVID-19 computed tomography scans with scalable open source software ," by Trevor Grant, https://nobleresearch.org/Content/PDF/12/2399-8172.2020-6/2399-8172.2020-6.pdf
- Binary image: https://mahout.apache.org/general/downloads
- Source build: https://mahout.apache.org/
- Mailing lists: https://mahout.apache.org/general/mailing-lists
- SlideShare: https://www.slideshare.net/AndrewMusselman/apache-mahout-on-zeppelinpptx
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Distributed Linear Algebra with Mahout
The Apache Mahout distributed linear algebra framework delivers new tools and methods for performing data analysis, building machine learning data pipelines, and implementing machine learning models in production.
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