June 2025
Beginner to intermediate
484 pages
10h 52m
Korean
Content preview from 잘되는 머신러닝 팀엔 이유가 있다
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29
Chapter 1
ML 솔루션 제공의 도전과 더 나은 방향
가장 위험한 종류의 낭비는 우리가 인식하지 못하는 낭비입니다.
- 시게오 신고
Shigeo
Shingo
,
도요타 생산 시스템에 대한 선도적 전문가
마주하는 모든 것을 바꿀 수는 없지만, 마주하기 전에는 아무것도 바뀔 수 없습니다.
- 제임스 볼드윈
James
Baldwin
, 작가이자 극작가
앞서 언급했던 것처럼 많은 개인과 조직이 머신러닝
(
ML
)
여정을 시작할 때 큰 기대를 갖고
시작하지만, 많은
ML
종사자의 실제 경험은
ML
솔루션을 전달하는 여정이 함정, 우회로, 때
로는 극복할 수 없는 장애물로 가득 차 있음을 보여줍니다. 데이터 과학의 화려한 과대광고
를 벗겨내면, 우리는 종종
ML
종사자들이 번거로운 수작업, 운영 중 문제 해결, 팀 간 고립,
다루기 힘들고 취약하며 복잡한 솔루션에 시달리는 모습을 보게 됩니다.
이러한 문제는 팀이 고객에게 가치를 전달하는 것을 방해하거나 심지어 막아버려 조직의
AI
에 대한 투자와 야망을 좌절시킵니다. 하이프 사이클
hype
cycle
01
을 따라가다 보면, 많은 사람이
부풀려진 기대의 정점을 지나 실망의 골짜기로 추락하게 됩니다. 이와 반대로 높은 성과를
내는 일부
ML
팀이 생산성의 고원으로 나아가는 것을 보며, 우리가 과연 그곳에 도달할 수
01
옮긴이_ ...
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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.