机器学习的应用——越南金融科技市场的真实情况

Q1 Business, Management and Accounting Pakistan Journal of Commerce and Social Science Pub Date : 2022-06-30 DOI:10.56209/jommerce.v2i2.28

H. Le, Giang Huong Nguyen, ang Bui, Trang Quynh Le, Trang Ha Nguyen

{"title":"机器学习的应用——越南金融科技市场的真实情况","authors":"H. Le, Giang Huong Nguyen, ang Bui, Trang Quynh Le, Trang Ha Nguyen","doi":"10.56209/jommerce.v2i2.28","DOIUrl":null,"url":null,"abstract":"Machine Learning (ML) is a well-known term in the technological field. However, using ML models in financial institutions is a matter of concern. In fact, the 4.0 Industry has encouraged them to expand their digital system to bring the best experience for their clients. This journal will discuss the definition and applications of ML, the actual situation of the Vietnam Finetech Market. Thereby, we will make predictions about the future of financial institutions, which determines them to use ML in their activities.","PeriodicalId":37316,"journal":{"name":"Pakistan Journal of Commerce and Social Science","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Applications of Machine Learning (ML) - The real situation of the Vietnam Fintech Market\",\"authors\":\"H. Le, Giang Huong Nguyen, ang Bui, Trang Quynh Le, Trang Ha Nguyen\",\"doi\":\"10.56209/jommerce.v2i2.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machine Learning (ML) is a well-known term in the technological field. However, using ML models in financial institutions is a matter of concern. In fact, the 4.0 Industry has encouraged them to expand their digital system to bring the best experience for their clients. This journal will discuss the definition and applications of ML, the actual situation of the Vietnam Finetech Market. Thereby, we will make predictions about the future of financial institutions, which determines them to use ML in their activities.\",\"PeriodicalId\":37316,\"journal\":{\"name\":\"Pakistan Journal of Commerce and Social Science\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pakistan Journal of Commerce and Social Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56209/jommerce.v2i2.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Journal of Commerce and Social Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56209/jommerce.v2i2.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}

引用次数: 1

摘要

机器学习(ML)是技术领域的一个众所周知的术语。然而，在金融机构中使用ML模型是一个值得关注的问题。事实上，工业4.0鼓励他们扩展他们的数字系统，为客户带来最好的体验。本杂志将讨论机器学习的定义和应用，越南精细技术市场的实际情况。因此，我们将对金融机构的未来做出预测，这决定了他们在活动中使用ML。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Applications of Machine Learning (ML) - The real situation of the Vietnam Fintech Market

Machine Learning (ML) is a well-known term in the technological field. However, using ML models in financial institutions is a matter of concern. In fact, the 4.0 Industry has encouraged them to expand their digital system to bring the best experience for their clients. This journal will discuss the definition and applications of ML, the actual situation of the Vietnam Finetech Market. Thereby, we will make predictions about the future of financial institutions, which determines them to use ML in their activities.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊