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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380
살아 움직이는 머신러닝 파이프라인 설계
15.8
요약
이 책에는 머신러닝 모델을 매끄러운 파이프라인으로 전환하는 방법에 관한 권장 사항이 있습
니다. [그림
15
-
2
]는 우리가 필요하다고 생각하는 모든 단계와 (집필 시점을 기준으로) 가장
적합하다고 생각하는 도구를 보여줍니다. 이 주제에 계속 호기심을 갖고, 새로운 개발을 따르
고, 머신러닝 파이프라인과 관련된 다양한 오픈 소스에 기여하기를 권장합니다. 이는 새로운
솔루션이 자주 출시되는 등 매우 활발한 개발 분야입니다.
데이터
수집
파이프라인
오케스트레이션
메타데이터스토어 데이터베이스
데이터
검증
데이터
전처리
모델 피드백 루프
모델
학습
모델 분석 및
검증
모델
배포
그림
15-2
머신러닝 파이프라인 아키텍처
[그림
15
-
2
]에는 세 가지 매우 중요한 기능 (확장성
scalable
, 재현성
reproducible
, 자동화
automated
)이
있습니다. 자동화된 모델이기에 데이터 과학자가 모델을 유지 보수할 필요가 없고 새로운 모델
을 실험할 시간을 줍니다. 확장성이 뛰어나서 대량의 데이터를 처리하도록 확장할 수 있습니
다. 그리고 재현이 가능해서 한 프로젝트의 인프라에서 설정한 후에는 다음 프로젝트를 쉽게
구축할 수 있습니다. 이는 모두 성공적인 머신러닝 파이프라인에 필수입니다.
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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.