Authors: Zelin Wang; Xinke Liu; Weiye Zhang; Yingying Zhi; Shi Cheng
Addresses: Nantong University, Nantong, China ' Nantong University, Nantong, China ' Nantong University, Nantong, China ' Nantong University, Nantong, China ' Nantong University, Nantong, China
Abstract: 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.
Keywords: big data; machine learning; deep learning; integrated learning; transfer learning.
International Journal of Modelling, Identification and Control, 2022 Vol.40 No.2, pp.151 - 157
Received: 18 Jul 2021
Accepted: 14 Sep 2021
Published online: 08 Aug 2022 *