{"title":"亚马逊网络服务简介","authors":"Thilina Gunarathne, S. Ekanayake","doi":"10.1002/9781119556749.ch6","DOIUrl":null,"url":null,"abstract":"Amazon Web Services is a cloud computing provider. That is, it provides on-demand access to computing infrastructure (networks, servers, storage, etc.). There isn’t enough time to discuss all of its products, but some important use cases include: • Renting virtual computers you can run code on • Building and training machine learning models using canned routines • Storing and backing up (potentially massive) amounts of data • Creating a database and running queries on it • Hosting websites • Crowd-sourcing human intelligence tasks (tasks computers currently can’t perform)","PeriodicalId":162790,"journal":{"name":"Machine Learning in the AWS Cloud","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Introduction to Amazon Web Services\",\"authors\":\"Thilina Gunarathne, S. Ekanayake\",\"doi\":\"10.1002/9781119556749.ch6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Amazon Web Services is a cloud computing provider. That is, it provides on-demand access to computing infrastructure (networks, servers, storage, etc.). There isn’t enough time to discuss all of its products, but some important use cases include: • Renting virtual computers you can run code on • Building and training machine learning models using canned routines • Storing and backing up (potentially massive) amounts of data • Creating a database and running queries on it • Hosting websites • Crowd-sourcing human intelligence tasks (tasks computers currently can’t perform)\",\"PeriodicalId\":162790,\"journal\":{\"name\":\"Machine Learning in the AWS Cloud\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Machine Learning in the AWS Cloud\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119556749.ch6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Learning in the AWS Cloud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119556749.ch6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Amazon Web Services is a cloud computing provider. That is, it provides on-demand access to computing infrastructure (networks, servers, storage, etc.). There isn’t enough time to discuss all of its products, but some important use cases include: • Renting virtual computers you can run code on • Building and training machine learning models using canned routines • Storing and backing up (potentially massive) amounts of data • Creating a database and running queries on it • Hosting websites • Crowd-sourcing human intelligence tasks (tasks computers currently can’t perform)
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