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LDR
00000cam c2200205 c 4500
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000005131790
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20240221185535
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240220s2022 caua b 001c0 eng d
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▼a 1098107969
▼q (paperback) -
020
▼a 9781098107963
▼q (paperback) -
040
▼a 211070
▼c 211070
▼d 211070 -
050
▼a Q325.5
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090
▼a Q325.5
▼b H987 -
245
▼a Designing machine learning systems :
▼b an iterative process for production-ready applications /
▼d Chip Huyen -
250
▼a First edition.
-
260
▼a Sebastopol, CA :
▼b O'Reilly Media, Inc.,
▼c 2022 -
300
▼a xvi, 367 pages :
▼b illustrations ;
▼c 24 cm -
504
▼a Includes bibliographical references and index.
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505
▼t Overview of machine learning systems --
▼t Introduction to machine learning systems design --
▼t Data engineering fundamentals --
▼t Training data --
▼t Feature Engineering --
▼t Model development and offline evaluation --
▼t Model develoypment and prediction service --
▼t Data distribution shifts and monitoring --
▼t Continual learning and test in production --
▼t Infrastructure and tooling for MLOps --
▼t The human side of machine learning -
520
▼a "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com.
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650
▼a Machine learning.
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650
▼a Application software
▼x Design. -
650
▼a Machine learning.
▼2 fast
▼0 (OCoLC)fst01004795 -
950
▼b ￡52.99
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991
▼a 단행본
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LDR
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상세정보
Designing machine learning systems : an iterative process for production-ready applications First edition
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 1098107969 |
| ISBN : | 9781098107963 |
| 분류기호 : | Q325.5 |
| 서명/저자사항 : | Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen |
| 판사항 : | First edition. |
| 발행사항 : | Sebastopol, CA : O'Reilly Media, Inc., 2022 |
| 형태사항 : | xvi, 367 pages : illustrations ; 24 cm |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | Overview of machine learning systems -- Introduction to machine learning systems design -- Data engineering fundamentals -- Training data -- Feature Engineering -- Model development and offline evaluation -- Model develoypment and prediction service -- Data distribution shifts and monitoring -- Continual learning and test in production -- Infrastructure and tooling for MLOps -- The human side of machine learning |
| 요약 : | "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com. |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Application software -- Design. -- |
| 일반주제명 : | Machine learning. -- |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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