March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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267
9
장
시퀀스와 시계열 데이터 이해하기
이를 그래프로 그리면(그림
9
-
9
) 향상된 예측값을 바로 확인할 수 있습니다. 잡음이 완화되었
지만 트렌드가 실젯값에 매우 가깝습니다. 계절성과 트렌드는 유지되는 것 같네요.
값
시간
그림
9-9
개선된 이동 평균
MSE
와
MAE
를 계산하면 향상된 성능을 확인할 수 있습니다.
MSE
는
40
.
9
,
MAE
는
5
.
13
으로
확실히 성능이 좋아졌습니다.
9.3
마치며
이 장은 시계열 데이터와 시계열의 공통적인 몇 가지 특징을 소개했습니다. 합성 시계열 데이
터를 만들고, 단순한 예측을 만들었습니다. 이 예측으로부터
MSE
와
MAE
를 사용해 기준 성능
을 계산했습니다. 합성 데이터는 탐색할 만한 정말 멋진 영역입니다. 이 장에서 살펴본 일부 기
술이 여러분의 학습 여정에 유용하면 좋겠습니다.
이 장에서는 잠시 파이토치와 머신러닝을 사용하지 않았지만 다음 장에서 다시 머신러닝으로
돌아가 예측을 향상시킬 수 있는지 알아보겠습니다!
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and much more.
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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.