{"title":"书评专栏","authors":"Frederic Green","doi":"10.1145/3457588.3457590","DOIUrl":null,"url":null,"abstract":"In this column, we review these three books: 1. Algorithmic Aspects of Machine Learning, by Ankur Moitra. A succinct book about theoretical aspects of ML. Review by Sarvagya Upadhyay. 2. Network Flow Algorithms, by David Williamson. An examination of many aspects of these important algorithms. Review by S.V. Nagaraj. 3. The Theory of Quantum Information, by John Watrous. A new, unified treatment of this vital area. Review by Steve Fenner.","PeriodicalId":387985,"journal":{"name":"ACM SIGACT News","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Book Review Column\",\"authors\":\"Frederic Green\",\"doi\":\"10.1145/3457588.3457590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this column, we review these three books: 1. Algorithmic Aspects of Machine Learning, by Ankur Moitra. A succinct book about theoretical aspects of ML. Review by Sarvagya Upadhyay. 2. Network Flow Algorithms, by David Williamson. An examination of many aspects of these important algorithms. Review by S.V. Nagaraj. 3. The Theory of Quantum Information, by John Watrous. A new, unified treatment of this vital area. Review by Steve Fenner.\",\"PeriodicalId\":387985,\"journal\":{\"name\":\"ACM SIGACT News\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGACT News\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3457588.3457590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGACT News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3457588.3457590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this column, we review these three books: 1. Algorithmic Aspects of Machine Learning, by Ankur Moitra. A succinct book about theoretical aspects of ML. Review by Sarvagya Upadhyay. 2. Network Flow Algorithms, by David Williamson. An examination of many aspects of these important algorithms. Review by S.V. Nagaraj. 3. The Theory of Quantum Information, by John Watrous. A new, unified treatment of this vital area. Review by Steve Fenner.
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