December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Content preview from 로우코드 AI
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CAUTION
이 장을 끝낼 때 모델을 반드시
배포 취소
undeploy
하기 바랍니다. 사용하지 않는 모델이라도
일단 배포되면 비용이 발생하기 때문입니다. 배포를 취소하려면 버텍스
AI
에서 해당 모델의 엔드포인트
이름을 클릭하여 추가 작업을 의미하는 점
3
개로 구성된 아이콘을 클릭하고 ‘엔드 포인트에서 모델 배포
취소’를 선택합니다.
4.4
요약
이 장에서는 광고 미디어 채널 매출을 예측하는
AutoML
모델을 구축했습니다. 판다스로 히트
맵과 히스토그램 분포도를 만들며 데이터를 탐색했습니다. 그런 다음, 데이터 파일을 로컬 컴
퓨터로 다운로드하고 구글의 버텍스
AI
프레임워크에 업로드했습니다. 그리고
AutoML
로 매
출을 예측하는
ML
모델을 구축, 학습, 배포하는 방법을 배웠습니다. 또한, 성능 지표를 살펴보
며 모델의 성능을 전반적으로 이해하고 비즈니스 질문의 답을 얻을 수 있었습니다. 마지막으
로, 배포된 모델로 예측을 수행해 보면서
ML
모델을 적용한 결과를 팀에 발표할 준비를 마쳤
습니다!
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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.