{"title":"Machine learning for programming","authors":"Peter Norvig","doi":"10.1145/2660252.2661744","DOIUrl":null,"url":null,"abstract":"If you want to recognize speech or filter out spam emails, you will probably write a machine learning algorithm and will not try to write the whole program using a \"traditional\" software specification and implementation. There are many examples of successful machine learning solutions, but can we more broadly apply the techniques to most or all software problems, and for most or all programmers, from the novice in their first programming course to the seasoned professional?","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2660252.2661744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
If you want to recognize speech or filter out spam emails, you will probably write a machine learning algorithm and will not try to write the whole program using a "traditional" software specification and implementation. There are many examples of successful machine learning solutions, but can we more broadly apply the techniques to most or all software problems, and for most or all programmers, from the novice in their first programming course to the seasoned professional?
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