March 2023
Beginner to intermediate
436 pages
9h 20m
Korean
Content preview from 머신러닝 시스템 설계
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359
10
장
MLOps를 위한 인프라와 도구
개발 환경은 데이터 과학자가 매일 상호 작용해야 하는 대상이므로 가장 덜 추상적입니다. 이
범주를 먼저 알아본 후 데이터 과학자 사이에서 논쟁의 여지가 있는 주제인 자원 관리를 알아
봅니다. 데이터 과학자가 자원 관리 레이어를 꼭 알아야 하는지에 관해서는 여전히 논란이 있
습니다. 마지막으로는
ML
플랫폼을 알아봅니다. 이는 비교적 새로운 개념이며 각 구성 요소는
아직 성숙한 형태가 아닙니다.
ML
플랫폼은 회사의 선행 투자가 필요하지만 제대로 수행된다
면 비즈니스 유스 케이스 전반에 걸쳐 데이터 과학자의 업무가 보다 수월해지도록 합니다.
두 회사가 인프라 요구 사항은 동일하더라도 인프라 구축 및 구매에 관한 의사 결정에 어떻게
접근하는지에 따라, 즉 무엇을 직접 구축하고 무엇을 다른 회사에서 구매하는지에 따라 결과로
만들어지는 인프라는 매우 다를 수 있습니다.
10
.
5
절 ‘구축
vs
. 구매’에서는 두 접근법에 관한
의사 결정을 논의하고, 표준화되고 통합된
ML
인프라 추상화에 대한 바람 또한 논의합니다.
시작해봅시다!
10.1
스토리지와 컴퓨팅 스토리지와 컴퓨팅
ML
시스템은 대량의 데이터로 작동하며 이 데이터는 어딘가에 저장돼야 합니다. 스토리지
레이어는 데이터가 수집되고 저장되는 곳으로, 가장 단순한 형태는 ...
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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.