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.
65
4장 모델개발
MLOps
를 진지하게 받아들이려고 한다면 적어도 모델 개발 프로세스를 간략하게나마 이해해
야 한다. [그림
4
-
1
]을 보면 큰 범위에서 머신러닝 모델 생애주기를 단계별로 확인할 수 있다.
상황에 따라 모델 개발 프로세스는 매우 간단할 수도 있고 엄청나게 복잡할 수도 있다. 또한 개
발 이후에 모델의 사용법, 모니터링, 유지보수에 대한 제약도 천차만별이다.
모델 개발
·데이터 탐색
·특성 엔지니어링 및
특성 선택
·실험
학습
데이터
후보 모델
선택된 모델
성능 지표 및 문서화
모델 평가 및 비교
상용화 준비 상용 배포
모니터링과
피드백 루프
그림
4-1
머신러닝모델생애주기내의모델개발
그림을 보면 데이터 수집 프로세스가 모델의 남은 생애주기에 끼치는 영향은 명확하다. 데이터
수집 상태에 따라 모델이 얼마나 쉽게 부실화될 수 있는지 바로 확인할 수 있다. 다른 프로세스
는 영향을 덜 끼치는 편이다.
예를 들어, 특성 엔지니어링 및 특성 선택 단계를 보면, 날짜 데이터만 있어 모델에 날짜만 입
모델 개발
4
CHAPTER
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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.