{"title":"模仿学习:门徒训练的机器学习版本","authors":"Monica C. Vroman","doi":"10.55409/math3ma2022-113","DOIUrl":null,"url":null,"abstract":"Learning has been at the forefront of human activity for thousands of years. Machine learning, a much newer field, has recently gained popularity and gotten much attention in the media and in conversations around us. In this article, I define machine learning, describe its different branches, and explain how it works. I also answer some of the concerns and questions that people have about the future of technology, especially as it relates to advances in machine learning.","PeriodicalId":266080,"journal":{"name":"The Journal of The Math3ma Institute","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Imitation Learning: The Machine Learning Version of Discipleship\",\"authors\":\"Monica C. Vroman\",\"doi\":\"10.55409/math3ma2022-113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning has been at the forefront of human activity for thousands of years. Machine learning, a much newer field, has recently gained popularity and gotten much attention in the media and in conversations around us. In this article, I define machine learning, describe its different branches, and explain how it works. I also answer some of the concerns and questions that people have about the future of technology, especially as it relates to advances in machine learning.\",\"PeriodicalId\":266080,\"journal\":{\"name\":\"The Journal of The Math3ma Institute\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of The Math3ma Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55409/math3ma2022-113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of The Math3ma Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55409/math3ma2022-113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Imitation Learning: The Machine Learning Version of Discipleship
Learning has been at the forefront of human activity for thousands of years. Machine learning, a much newer field, has recently gained popularity and gotten much attention in the media and in conversations around us. In this article, I define machine learning, describe its different branches, and explain how it works. I also answer some of the concerns and questions that people have about the future of technology, especially as it relates to advances in machine learning.