大数据
计算机科学
机器学习
人工智能
数据科学
数据挖掘
作者
Zelin Wang,Xinke Liu,Weiye Zhang,Yingying Zhi,Shi Cheng
出处
期刊:International Journal of Modelling, Identification and Control
[Inderscience Enterprises Ltd.]
日期:2022-01-01
卷期号:40 (2): 151-151
标识
DOI:10.1504/ijmic.2022.124718
摘要
In the big data environment, the traditional machine learning algorithm for data processing is somewhat inadequate. Therefore, machine learning algorithms adapted to big data environment have become a research hotspot. At the time of the marriage of big data and machine learning, it is necessary to predict the related challenges and opportunities. This paper mainly analyses and summarises the current research status of machine learning algorithms for processing big data, and discusses the new opportunities and challenges that machine learning paradigm will face in the era of big data. It also explores the new technology breakthrough that machine learning will produce in the era of big data.
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