摘要
随着大数据时代的到来,构建大数据下的机器学习系统会更加复杂和困难。开源机器学习工具的使用成为学术界和产业界关注的热点。对当前国内外主流机器学习工具进行研究和分析,总结各机器学习工具优缺点,为机器学习研究者和开发人员提供参考。
With the advent of the era of big data,the construction of machine learning systems based on big data will become more com⁃plex and difficult.The use of open source machine learning tools has become a hot topic of concern in academia and industry.This pa⁃per studies and analyzes the mainstream machine learning tools at home and abroad,summarizes the advantages and disadvantages of each machine learning tool,and provides useful references for the research and developers of machine learning.
作者
王伟宾
WANG Wei-bin(School of Economics and Management,North China University of Technology,Beijing 100144,China)
出处
《软件导刊》
2021年第1期238-241,共4页
Software Guide
基金
北京市优秀青年人才项目(2017BJYXRC211)。
关键词
大数据
开源
机器学习工具
深度学习
big data
open source
machine learning toolkit
deep learning