首页> 外文期刊>Network Daily News >Report Summarizes Machine Learning Study Findings from Beijing University of Technology (Student Achievement Prediction Using Deep Neural Network From Multi-source Campus Data)
【24h】

Report Summarizes Machine Learning Study Findings from Beijing University of Technology (Student Achievement Prediction Using Deep Neural Network From Multi-source Campus Data)

机译:报告总结了北京技术大学的机器学习研究结果(使用多源校园数据的深度神经网络的学生成就预测)

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Machine Learning have been presented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Finding students at high risk of poor academic performance as early as possible plays an important role in improving education quality. To do so, most existing studies have used the traditional machine learning algorithms to predict students’ achievement based on their behavior data, from which behavior features are extracted manually thanks to expert experience and knowledge.”
机译:由Network Daily News的News Reporter-Staft News编辑 - 已经介绍了机器学习的数据。 根据NewsRX通讯员的中华人民共和国北京的新闻说:“发现尽早发现学业表现不佳的学生在改善教育质量方面起着重要的作用。 为此,大多数现有的研究都使用传统的机器学习算法来根据他们的行为数据来预测学生的成就,这要归功于专家经验和知识。”

著录项

  • 来源
    《Network Daily News》 |2022年第31期|70-71|共2页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 TP-778;
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号