使用开源机器学习的云和Docker集成环境的数据库模式

Siripuri Kiran, V. C. S. Rao, S. Venkatramulu, M. PhridviRaj, Sreenivas Pratapagiri, Sujatha Madugula
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引用次数: 0

摘要

计算机视觉、自然语言处理、情感分析和欺诈检测只是其中的几个领域,其中重要的研究领域是机器和预测分析。机器学习可以用来训练或建立专门用于挖掘和采集数据的H/W软件和应用程序。为了在利用无监督和有监督数据的数据集之间提取准确性和性能,在工作中作为开源机器学习平台的使用模式提出了用于各种应用程序的高性能数据分析的MLDB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Database Patterns for the Cloud and Docker Integrated Environment using Open Source Machine Learning
Computer vision, natural language processing, sentiment analysis, and fraud detection are just a few of the sectors, where significant area of research are Machine and predictive analysis. Machine learning can be used to train or set up software and application of H/W for mining specially and the acquisition data. In order to extract accuracy and performance among datasets utilizes unsupervised and supervised data, MLDB for high-performance data analytics for a variety of applications is presented in the work as usage patterns of an open source machine learning platform.
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