{"title":"概率与计算","authors":"A. Srinivasan","doi":"10.1145/3289137.3289142","DOIUrl":null,"url":null,"abstract":"The power of randomization in the computational context is one of the fundamental discoveries of computer science; furthermore, statistical and probabilistic reasoning is indispensable for modern-day data analysis and data science. In this significantly-expanded second edition, the authors (continuing to assume exposure to just basic discrete probability) present a unified treatment of probabilistic concepts useful for modern computer science and data science.","PeriodicalId":22106,"journal":{"name":"SIGACT News","volume":"3 1","pages":"20-22"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"183","resultStr":"{\"title\":\"Probability and Computing\",\"authors\":\"A. Srinivasan\",\"doi\":\"10.1145/3289137.3289142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The power of randomization in the computational context is one of the fundamental discoveries of computer science; furthermore, statistical and probabilistic reasoning is indispensable for modern-day data analysis and data science. In this significantly-expanded second edition, the authors (continuing to assume exposure to just basic discrete probability) present a unified treatment of probabilistic concepts useful for modern computer science and data science.\",\"PeriodicalId\":22106,\"journal\":{\"name\":\"SIGACT News\",\"volume\":\"3 1\",\"pages\":\"20-22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"183\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGACT News\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3289137.3289142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGACT News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3289137.3289142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The power of randomization in the computational context is one of the fundamental discoveries of computer science; furthermore, statistical and probabilistic reasoning is indispensable for modern-day data analysis and data science. In this significantly-expanded second edition, the authors (continuing to assume exposure to just basic discrete probability) present a unified treatment of probabilistic concepts useful for modern computer science and data science.
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