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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345
13
장
피드백 루프
머신러닝 모델을 생산에 투입할 수 있는 매끄러운 파이프라인을 갖추고서 단 한 번만 가동하고
싶지는 않을 겁니다. 모델은 일단 배포되면 정적이어서는 안 됩니다. 새로운 데이터가 수집되
고 데이터 분포가 변경되며 (
4
장 참고), 데이터 드리프트 (
7
장 참고)가 생깁니다. 그리고 파이
프라인을 지속해서 개선해야 합니다.
[그림
13
-
1
]과 같이 기계 파이프라인에 어떤 종류의 피드백을 추가하면 생애 주기로 변경됩니
다. 모델의 예측은 새 데이터의 수집으로 이어져 모델을 지속해서 개선합니다.
데이터
수집
파이프라인
오케스트레이션
메타데이터스토어 데이터베이스
데이터
검증
데이터
전처리
모델 피드백 루프
모델
학습
모델 분석 및
검증
모델
배포
그림
13-1
머신러닝 파이프라인의 일부로서의 모델 피드백
새 데이터가 없으면 시간이 지나면서 입력이 변경되어 모델의 예측 정확도가 감소할 수 있습니
다.
ML
모델을 배포하면 실제로 사용자 경험이 변경되어서 제공되는 학습 데이터가 변경되기
도 합니다. 동영상 추천 시스템을 예로 들어보죠. 모델이 추천한 동영상 목록을 보고 사용자가
피드백 루프
CHAPTER
13
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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.