{"title":"过去的问题，未来的问题，以及数据科学解决方案","authors":"M. Pasupuleti","doi":"10.18034/abcjar.v4i2.614","DOIUrl":null,"url":null,"abstract":"According to the findings of this study, the usual workday for a Data Scientist varies based on the sort of project on which they are working at the time. In order to extract insights from data, a variety of algorithms are employed. Because Data Scientists can access algorithms, tools, and data over the Cloud, they can keep up to date and collaborate more readily than ever before.","PeriodicalId":130992,"journal":{"name":"ABC Journal of Advanced Research","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Problems from the Past, Problems from the Future, and Data Science Solutions\",\"authors\":\"M. Pasupuleti\",\"doi\":\"10.18034/abcjar.v4i2.614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the findings of this study, the usual workday for a Data Scientist varies based on the sort of project on which they are working at the time. In order to extract insights from data, a variety of algorithms are employed. Because Data Scientists can access algorithms, tools, and data over the Cloud, they can keep up to date and collaborate more readily than ever before.\",\"PeriodicalId\":130992,\"journal\":{\"name\":\"ABC Journal of Advanced Research\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ABC Journal of Advanced Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18034/abcjar.v4i2.614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ABC Journal of Advanced Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18034/abcjar.v4i2.614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Problems from the Past, Problems from the Future, and Data Science Solutions
According to the findings of this study, the usual workday for a Data Scientist varies based on the sort of project on which they are working at the time. In order to extract insights from data, a variety of algorithms are employed. Because Data Scientists can access algorithms, tools, and data over the Cloud, they can keep up to date and collaborate more readily than ever before.
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