June 2025
Beginner to intermediate
484 pages
10h 52m
Korean
Content preview from 잘되는 머신러닝 팀엔 이유가 있다
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66
잘되는 머신러닝 팀엔 이유가 있다
이 장을 마치기 전에, 이러한 관행이 긍정적이거나 부정적인 결과를 예측하는 지표로 어떻게
작용할 수 있는지 강조하고자 합니다. 예를 들어, 제품 아이디어를 사용자와 초기에 자주 검
증하지 않으면, 잘못된 제품을 만드는 데 많은 시간과 노력을 낭비할 가능성이 큽니다. 크로
스 기능 팀이 없으면 여러 팀이 조율하고 서로 기다리며 변경 사항을 사용자에게 전달하는 데
시간이 걸리는 ‘백로그 커플링’이 발생할 것입니다.
이것은 단순한 일화가 아닙니다.
2
,
800
개 이상의 조직을 대상으로 한 기술 비즈니스의 성과
와 효율성에 대한 과학적 연구에서, 지속적 전달, 린, 크로스 기능 팀, 생성적 문화와 같은 관
행을 채택한 조직이 더 높은 성과를 보인다는 것을 발견했습니다. 예를 들어, 기능을 더 빨리
전달하고, 실패율이 낮으며, 직원 만족도
62
가 높습니다. 다시 말해, 이러한 관행은 실제로 조
직의 성과를 예측하는 지표가 될 수 있습니다.
1.3
결론
이 장에서 다룬 내용을 간단히 정리하겠습니다. 먼저
ML
프로젝트가 실패하는 일반적인 이
유를 살펴보고, 효율성이 낮은 환경과 효율성이 높은 환경에서의
ML
전달 방식을 비교했습
니다. 그런 다음 시스템 사고의 관점에서 효과적인
ML
전달을 위해 필요한 원칙들을 확인했
습니다. 린이 어떻게 낭비를 ...
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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.