December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Content preview from 로우코드 AI
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174
로우코드 AI
대부분의
ML
프레임워크가 모델을 학습시키는 데 사용할 수 있는 경사하강법과 몇 가지 변형
을 제공합니다. 경사하강법의 기본을 자세히 알고 싶다면, 구글의 ‘머신러닝 단기집중과정
7
’을
참조하기 바랍니다.
NOTE
행렬에 관한 약간의 배경지식이 있고 표기법을 안다면 정규방정식을 이해하기가 그리 어렵지
않습니다. 미적분과 선형 대수학에서 흔히 볼 수 있는 주제이기도 합니다. 미적분학의 기법을 사용한 도
출의 예는 블로그 게시글
8
을 참조하세요.
6.3.1
특징 선택 및 상관관계
사용할 모델의 유형을 선형 회귀로 선택했으니, 이제는 사용할 특징을 선택할 차례입니다.
준비해 둔 빅쿼리의 데이터셋에는 에너지 생산량을 예측하는 데 활용할 수 있는 네 개의 열
(
Temp
,
Ambient
_
Pressure
,
Relative
_
Humidity
,
Exhaust
_
Vacuum
)이 있었습니다. 이 중 어
떤 특징을 사용하면 좋을까요?
일반적으로 특징을 선택할 때는 다음과 같은 세 가지 기본 가이드라인을 따를 수 있습니다.
•
목표 문제와 관련이 있어야 합니다.
•
예측 시점에 알 수 있어야 합니다.
•
숫자거나 숫자로 변환할 수 있어야 합니다.
이 외에도 앞으로 더 많은 고려 사항을 살펴보겠지만, 앞의 세 개가 좋은 시작점이 될 수 있습
니다. 특히 세 번째 가이드라인은 ...
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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.