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.
198
3부MLOps실제사례
11.9
마치며
이번 장에서는 전력 전송망 운영을 지원하기 위한 데이터 활용 방법을 살펴보았다. 다양한 머
신러닝 및 비(非)머신러닝 기법을 활용하면, 몇 분에서 수십 년에 이르는 기간에 해당하는 최
대 수천 번의 소비에 대한 예측을 수행할 수 있음을 확인하였다.
MLOps
덕분에 설계, 배포, 모니터링 프로세스가 여러 산업에 걸쳐 표준화되었고, 데이터 사
이언스 및 머신러닝 플랫폼이 개발되어
MLOps
프로세스를 지원하고 있다. 소비 예측 시스템
설계자는 이러한 표준 프로세스와 플랫폼을 활용하여 비용, 품질, 가치 창출 시간 관점에서 시
스템의 효율성을 개선할 수 있다.
한 걸음 뒤로 물러서서 보면, 업종마다 다양한 머신러닝 활용 사례가 있음을 분명히 알 수 있
다. 이러한 활용 사례들은 이 책에서 다룬 문제 정의, 모델 구축, 상용화 등과 관련하여 각자 고
유의 복잡성을 가지고 있다. 그러나 업종이나 활용 사례에 관계없이
MLOps
프로세스는 데이
터 팀(더 넓게는 조직 전체)이 머신러닝 적용 범위를 확대할 수 있도록 돕는 안내자가 되어줄
것이다.
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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.