December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Content preview from 로우코드 AI
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184
로우코드 AI
그림
6-22
Vacuum
_
Pressure
와
Energy
_
Production
의 관계를 시각화한 산점도. 음의 선형 관계가 드러납니다.
요약하면
Temp
와
Energy
_
Production
사이에는 온도가 낮을수록 에너지 생산량이 높아지는
강력한 ‘역
inverse
’
관계가 있는 것으로 보입니다. [그림
6
-
17
]의 상관행렬을 참조하면,
Temp
와
Energy
_
Production
의 상관관계는 -
0
.
948
입니다. 이는 [그림
6
-
19
]에서 음의 선형 관계를
예상하는 것에 관한 내용과 일치합니다.
온도, 주변 압력, 상대 습도, 배기 진공 압력을 기반으로 에너지 생산량을 예측하는 것이 목표
였죠. 그렇다면 상관관계가 약한 특징은 버려야 할까요? 만약 버린다면, 다변량 모델에서 단변
량
univariate
모델로 전환됩니다. 즉, 레이블(
Energy
_
Production
)을 예측하는 단일 특징(
Temp
)
만 사용한다는 뜻이죠. 이렇게 얻은 모델은 일반화할 수 있을까요? 에너지 생산의 특징 중요도
를 판단하려면 추가로 수집할 만한 데이터가 있을까요? 이 같은 질문을 스스로에게 해 봐야만
하며,
1
장에서 본 비즈니스 의사 결정 모델이 도움이 될 수 있습니다.
6.3.4
빅쿼리
ML
의
CREATE
MODEL
문
이 절은 빅쿼리
ML
로 발전소 데이터셋의 모든 ...
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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.