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Strategies and Principles of Distributed Machine Learning on Big Data
The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as high-dimensional latent features, intermediate re...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2016-06-01
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| Collection: | Engineering |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2095809916309468 |
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