December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Content preview from 로우코드 AI
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105
4
장
AutoML로 광고 미디어 채널의 매출 예측하기
4.3.2
버텍스
AI
에서 관리형 데이터셋 만들기
버텍스
AI
는 데이터 유형과 달성 목적에 따라 다양한
AutoML
모델을 제공합니다. 데이터셋
을 만들 때 해당 데이터셋이 적용될 목적을 선택해야 하지만, 일단 데이터셋을 만들고 나면 다
른 목적의 모델을 학습시키는 데도 활용할 수 있습니다. 한편, 데이터셋의 저장 위치는 [그림
4
-
17
]처럼 기본 지역(
us
-
central1
)을 유지합니다.
페이지 상단의 [만들기] 버튼을 클릭한 다음, 데이터셋 이름을 ‘
advertising
_
automl
’로 입력합
니다.
그림
4-17
데이터셋을 생성하는 버텍스
AI
의 ‘
Datasets
(데이터 세트)’ 기능
4.3.3
모델의 목적 선택
[그림
4
-
18
]은 ‘테이블 형식’ 탭에서 모델의 목적을 ‘회귀 또는 분류’로 선택한 모습을 보여줍니
다. 대상 열의 값(매출)을 예측할 때는 이 목적이 적절합니다.
그림
4-18
모델의 목적으로 회귀/분류 선택하기
106
로우코드 AI
향후 사용 사례에도 도움이 되는 몇 가지 기본 개념을 살펴보고 넘어가겠습니다. ...
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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.