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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101
4
장
데이터 검증
결과는 [그림
4
-
6
]과 같습니다.
그림
4-6
피처값으로 슬라이싱한 데이터 시각화하기
이 절에서는 데이터 문제를 발견할 수 있는
TFDV
의 유용한 피처를 몇 가지 살펴봤습니다. 다
음에는 구글 클라우드의 제품을 사용하여 데이터 검증을 확장하는 방법을 알아보겠습니다.
4.4
GCP
를 사용한 대용량 데이터셋 처리
데이터 수집량이 많아질수록 머신러닝 워크플로의 데이터 검증 단계에 시간이 더 많이 소요됩
니다. 클라우드 솔루션을 활용하면 검증 시간을 단축할 수 있습니다. 클라우드 서비스를 사용
하면 노트북이나 사내 리소스의 컴퓨팅 능력에 제한을 받지 않게 됩니다. 예를 들어 구글 클라
우드 제품인 데이터플로
Dataflow
에서
TFDV
를 실행하는 방법을 소개합니다.
TFDV
는 아파치
빔에서 실행되므로 구글 클라우드 데이터플로로 쉽게 전환할 수 있습니다.
102
살아 움직이는 머신러닝 파이프라인 설계
데이터플로를 사용하면 데이터 처리 작업을 위해 할당된 노드에 병렬로 배포하여 데이터 검증
작업을 가속할 수 있습니다. 데이터플로는
CPU
수와 할당된 메모리 (기가바이트
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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.