Abstract
This paper describes an integrated platform for machine learning and big data analysis. The integrated platform is configured in a way that builds a large distributed data processing environment in the computing environment that makes up the NVIDIA AI platform. In addition, this paper describes the background of this idea selection and the use of the software to build the unified platform. The technical details are shown in terms of how to create the proposed platform. In the anlaysis section, the methodology is provided and also the steps are explained as to how to use this integration platform. Finally, the expected effects are elaborated in the conclusion section.
Highlights
Artificial intelligence modeling requires a high-end computing environment
This paper describes an integrated platform for machine learning and big data analysis
The integrated platform is configured in a way that builds a large distributed data processing environment in the computing environment that makes up the NVIDIA Artificial Intelligence (AI) platform
Summary
Artificial intelligence modeling requires a high-end computing environment. We have witnessed the massive increase of data streams generated by the unmanned systems, such as drones and autonomous vehicles Those systems are increasingly integrated with machine learning algorithms, while generating and transmitting a large amount of data (i.e. image data, system parameter data, text data, and so on) in real-time. In this regards, an integrated platform is proposed in this study that can efficiently and simultaneously perform the big data analysis as well as the machine learning processing (this function is our research purpose). An integrated platform is proposed in this study that can efficiently and simultaneously perform the big data analysis as well as the machine learning processing (this function is our research purpose) This is achieved by creating distributed computing environment with the use of Hadoop EcoSystem [3] [4].
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call