April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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61
3장 MLOps의핵심기능
오늘날, 프로세스 거버넌스는 금융 분야와 같이 전통적으로 규제와 규정 준수의 부담을 지고
있던 조직에서 확인할 수 있다. 다른 조직의 경우에는 찾기 힘들다. 머신러닝이 상업적으로 활
용되는 사례가 늘고 책임 있는
AI
에 대한 관심이 늘고 있어, 모든 비즈니스에서 프로세스 거버
넌스를 활용할 수 있는 새롭고 혁신적인 해결책이 필요하다.
3.7
마치며
MLOps
에 필요한 특성과 영향을 받는 프로세스를 개괄적으로 살펴본 결과, 이는 데이터 팀 혹
은 어떠한 데이터 기반 거대 조직이라도 무시할 수 없는 것이었다.
MLOps
는 단순히 체크리스
트 항목에서 확인해야 할 사항이 아니다.
MLOps
를 기술, 프로세스, 사람 간의 복합적 상호작
용으로서 정확하게 수행하려면 규율과 시간이 필요하다.
이어지는 장들에서는 머신러닝 모델 생애주기의 각 요소에 대해 상세히 살펴보겠다. 또한 이상
적인
MLOps
를 구현하려면 어떻게 해야하는지도 확인해본다.
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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.