Design and Implementation of Machine Learning Algorithm Support Platform Based on Big Data
Abstract
Machine learning is an interdisciplinary subject in many fields. Its initial research motivation is to give computing machine system learning ability. The early machine learning data source was single and relatively simple to process, but the business scenarios that could be handled were limited. However, with the development of big data technology, machine learning has made major breakthroughs in language, sound, picture and text. More and more applications hope to optimize their experience by adding machine learning algorithms. However, the development process of machine learning applications is still relatively complex, which often requires equipment developers and algorithm developers to work together. Algorithm developers cannot directly optimize the computing efficiency of the platform, and developers cannot understand the specific workflow of the algorithm, It makes the development of machine learning applications more difficult.References
[1] Chen Di, Zheng Lianxiang, sun composition. Research on the construction and application of rehabilitation big data platform [J]. China health standard management, 2021,12 (11): 1-5.
[2] Wang F Y. A Big-Data Perspective on AI : Newton, Merton, and Analytics Intelligence. IEEE Intelligence Systems, 2012, 27 (5) : 2-4
[3] Chen Di, Zheng Lianxiang, sun composition. Research on the construction and application of rehabilitation big data platform [J]. China health standard management, 2021,12 (11): 1-5.
[4] Song Hongqing, Du Shuyi, Zhou Yuanchun, et al. Big data intelligent platform and application analysis of oil and gas resources development [J]. Journal of Engineering Science, 2021,43 (2): 179-192.
[5] Ye Lishan, Zhao Fei, Chen Jian, et al. Research and practice of big data application based on intelligent electronic health record platform [J]. Chinese Journal of health information management, 2019,16 (6): 672-676.
[6] Shen Wenyuan, Wu Yezheng, Wei Heng, et al. Application and design of deep learning in data analysis of environmental pollution platform [J]. Electronic production, 2021 (2): 46-47,63.
[7] Xu Chengjie, Xiao Xirong, Zhang Jingyi, et al. Design and application of spark based big data analysis platform [J]. Chinese Journal of health information management, 2019,16 (5): 633-637.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear. With this license, the authors hold the copyright without restrictions and are allowed to retain publishing rights without restrictions as long as this journal is the original publisher of the articles.
