October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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31
1
장
머신러닝 파이프라인
이번 장에서는 머신러닝 파이프라인을 소개하고 구축 단계를 간략하게 살펴봅니다. 머신러닝
모델을 실험에서 강력한 프로덕션 시스템으로 옮기려면 어떻게 해야 하는지 설명하겠습니다.
또한 책의 나머지 부분에서 설명하는 원칙을 보여주는 데 사용할 예제 프로젝트를 소개합니다.
1.1
머신러닝 파이프라인의 필요성
모델 생애 주기
Model
Lifecycle
단계를 자동화할 수 있다는 점은 머신러닝 파이프라인의 주요 이점
입니다. 새로운 훈련 데이터를 사용하려면 데이터 검증, 전처리, 모델 훈련, 분석 및 배포를 포
함하는 워크플로를 재설정해야 합니다. 많은 데이터 과학팀이 이런 단계를 수작업으로 수행합
니다. 하지만 비용이 많이 들고 오류를 발생시키기도 하죠. 우선 머신러닝 파이프라인의 이점
을 자세히 살펴보겠습니다.
●
기존 모델 유지보수에서 벗어나 새 모델에 집중할 수 있는 능력
자동화된 머신러닝 파이프라인을 사용하면 데이터 과학자가 기존 모델을 유지보수하지 않아도 됩니다.
많은 데이터 과학자가 이전에 개발한 모델을 최신 상태로 유지하는 데 많은 시간을 소비합니다. 스크립
트를 수동으로 실행하여 학습 데이터를 전처리하거나, 일회성 배포 스크립트를 작성하거나, 모델을 수동
으로 조정해왔죠. 자동화된 파이프라인을 사용하면 불필요한 ...
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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.