April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
27
1장 왜지금이고도전과제는무엇인가
로깅 및 경고
5
×
5
리스크 매트릭스
드뭄
매우 낮음
1
가벼움
2
가벼움
3
가벼움
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보통
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낮음
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가벼움
4
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보통
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보통
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중간
3
가벼움
6
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15
중대
높음
5
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심각
매우 높음
6
보통
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15
중대
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심각
25
심각
가능성
낮음
가능함
가능성
높음
가능성
매우 높음
발생 확률
영향도
그림
1-4
의사결정자에게정량적리스크분석을지원하는표
1.2.2
리스크 경감
중앙 통제 팀(내부 활동을 통합적으로 리포팅하는 팀을 뜻하며, 기업 내에 이러한 팀이 하나가
아닌 여럿이 있을 수 있다)에서 다수의 모델을 운영하는 경우
MLOps
를 활용하면 리스크 경감
에 필수적인 척도들을 특히 더 잘 확인할 수 있다. 즉, 적절한 리스크 경감 방안을 선택할 수 있
도록 표준화해야만 여러 모델의 상태를 전체적으로 관찰할 수 있다. 이와 관련한 상세한 내용
은
8
.
2
절에서 다룬다.
여러가지 이유로
MLOps
인프라 없이 머신러닝 모델을 상용 환경에 바로 배포하는 것이 위험
하기는 하지만, 머신러닝 모델의 성능을 상용 환경에서만 평가할 수 있는 경우가 많다. 왜 그럴
까? 예측
Prediction
모델은 학습한 데이터의 품질이 곧 모델의 품질이기 때문이다. 즉, 학습 데이
터가 상용 환경을 충분히 반영하지 않았다면 모델은 상용 환경에서 좋은
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.