{"title":"机器学习及其在电子学习系统中的应用","authors":"M. Krendzelak","doi":"10.1109/ICETA.2014.7107596","DOIUrl":null,"url":null,"abstract":"Exploiting the ceaselessly enhancing, online learning frameworks assumes a paramount part for adjusting toward oneself, particularly on account of working individuals. All things considered, learning frameworks don't for the most part adjust to learners' profiles. Learners need to invest a ton of time before arriving at the learning objective that is perfect with their insight foundation. This paper investigates Machine learning and its applications in E-Learning frameworks. Machine learning, we may say, is a sort of artificial intelligence (AI) that gives machines the capacity to learn without being expressly customized. Machine learning concentrates on the advancement of machine projects that can develop themselves and change when presented to new information [8].","PeriodicalId":340996,"journal":{"name":"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Machine learning and its applications in e-learning systems\",\"authors\":\"M. Krendzelak\",\"doi\":\"10.1109/ICETA.2014.7107596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exploiting the ceaselessly enhancing, online learning frameworks assumes a paramount part for adjusting toward oneself, particularly on account of working individuals. All things considered, learning frameworks don't for the most part adjust to learners' profiles. Learners need to invest a ton of time before arriving at the learning objective that is perfect with their insight foundation. This paper investigates Machine learning and its applications in E-Learning frameworks. Machine learning, we may say, is a sort of artificial intelligence (AI) that gives machines the capacity to learn without being expressly customized. Machine learning concentrates on the advancement of machine projects that can develop themselves and change when presented to new information [8].\",\"PeriodicalId\":340996,\"journal\":{\"name\":\"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETA.2014.7107596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th IEEE International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA.2014.7107596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine learning and its applications in e-learning systems
Exploiting the ceaselessly enhancing, online learning frameworks assumes a paramount part for adjusting toward oneself, particularly on account of working individuals. All things considered, learning frameworks don't for the most part adjust to learners' profiles. Learners need to invest a ton of time before arriving at the learning objective that is perfect with their insight foundation. This paper investigates Machine learning and its applications in E-Learning frameworks. Machine learning, we may say, is a sort of artificial intelligence (AI) that gives machines the capacity to learn without being expressly customized. Machine learning concentrates on the advancement of machine projects that can develop themselves and change when presented to new information [8].