April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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51
3장 MLOps의핵심기능
규제가 심한 산업(예를 들어, 금융, 제약)에서는 거버넌스와 규제 검사의 범위가 넓고, 수동 개
입을 필요로 하는 경우가 많다. 그렇다 하더라도,
MLOps
측면에서도
DevOps
와 마찬가지로
가능한 한
CI
/
CD
파이프라인을 자동화해야 한다. 그래야 배포 프로세스의 속도를 올릴 수 있
을 뿐만 아니라 더 확장된 회귀 테스트가 가능하고 배포 중 오류 발생 가능성을 낮출 수 있다.
3.4
모니터링
모델을 상용 배포한 뒤에는 계속 잘 작동하는지 확인해야 한다. 하지만 좋은 성능이란 말은 저
마다 다른 의미일 수 있다. 즉,
DevOps
팀 측면에서, 데이터 과학자 측면에서, 비즈니스 측면
에서 다른 의미일 수 있다.
3.4.1
DevOps
의 관심사
DevOps
팀의 관심사는 우리에게 상당히 익숙한 것들로 다음과 같다.
●
모델이작업을충분히빠르게처리하는가?
●
적절한용량의메모리와
CPU
처리시간을사용하고있는가?
이는 전통적인
IT
관점의 성능 모니터링으로
DevOps
팀은 어떻게 해야할지 이미 잘 알고 있
다. 머신러닝 모델에서 필요로 하는 자원도 전통적 소프트웨어와 큰 차이가 없다.
예를 들어, 상용 환경에서 모델을 재학습시켜야 한다면, 컴퓨팅 자원의 확장성은 중요한 고려
사항이다. 특히, 딥러닝 모델은 단순한 의사결정 트리보다 훨씬 많은 자원을 필요로 한다. 하지
만
DevOps
팀이 이미 보유하고 있는 모니터링과 자원 관리에 대한 전문 역량을 머신러닝 모
델에도 적용할 수 있다.
3.4.2
데이터 ...
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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.