Journal of machine learning research / 2020

Apache Mahout: Machine Learning on Distributed Dataflow Systems

Robin Anil, Gökhan Çapan, Isabel Drost-Fromm, Ted Dunning, Ellen Friedman, T. Grant, Shannon P. Quinn, Paritosh Ranjan, Sebastian Schelter, Özgür Yilmazel

Computer VisionML SystemsPopular and Landmark PapersReinforcement Learning

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27 citations1 influential

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Title: Apache Mahout: Machine Learning on Distributed Dataflow Systems
Authors: Robin Anil, Gökhan Çapan, Isabel Drost-Fromm, Ted Dunning, Ellen Friedman, T. Grant, Shannon P. Quinn, Paritosh Ranjan, Sebastian Schelter, Özgür Yilmazel
Year: 2020
Venue: Journal of machine learning research
Categories: Computer Vision, ML Systems, Popular and Landmark Papers, Reinforcement Learning
Citations: 27
Paper URL: https://www.semanticscholar.org/paper/12ab3f2e959715401410fb45f1af6b878a17702f
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Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=Apache%20Mahout%3A%20Machine%20Learning%20on%20Distributed%20Dataflow%20Systems)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=Apache%20Mahout%3A%20Machine%20Learning%20on%20Distributed%20Dataflow%20Systems)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/12ab3f2e959715401410fb45f1af6b878a17702f)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=Apache%20Mahout%3A%20Machine%20Learning%20on%20Distributed%20Dataflow%20Systems+paper+explained)