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Precision Analytics: Learning and Optimization in the Personalized Setting
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Precision Analytics: Learning and Optimization in the Personalized Setting. |
| 개인저자 | Mintz, Yonatan. |
| 단체저자명 | University of California, Berkeley. Industrial Engineering & Operations Research. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 153 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438324329 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Anil Aswani. |
| 요약 | The recent increase in data and computing resource availability has made the use of data analytics more practical in practice than ever before. In particular, the ubiquity of technologies such as smartphones, wearable devices, and smart sensors |
| 일반주제명 | Operations research. Artificial intelligence. Health care management. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
