Database Patterns for the Cloud and Docker Integrated Environment using Open Source Machine Learning

Abstract

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.