August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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fastai 애플리케이션 계층 이해하기
9.4
이름에서 알 수 있듯이 결정 트리 앙상블은 결정 트리에 기반합니다. 따라서 결정 트리부터 알
아봐야겠죠! 결정 트리는 데이터에 일련의 이진 (예/아니오 ) 질문
binary
question
을 던지고, 각 질
문에 대해 데이터는 예 또는 아니오로 분할되어 [그림
9
-
6
]처럼 가지를 뻗어 나갑니다. 하나
이상 질문을 거치면서 예측을 도출할 수 있다는 개념입니다. 필요하면 추가 질문을 할 수 있으
며, 그에 따라 더 깊이 가지를 뻗어 나가게 됩니다.
학습용이든 새로운 데이터셋이든 어떤 데이터라도 구축된 일련의 질문 순서를 거쳐 도달한 그
룹에 할당됩니다. 즉 학습용 데이터셋으로 도출된 질문과 그 질문에 대한 대답으로 만들어진
트리의 가지를 활용해서 새로 유입될 데이터가 거쳐야 할 질문과 대답, 최종적으로 도달할 그
룹이 정해지죠. 그런데 이 방식의 장점은 무엇일까요? 모델의 목표는 주어진 데이터로 예측을
하는 것이지 학습용 데이터셋으로 구축된 그룹에 할당하는 것이 아니니 말이죠. 다만 예측값을
각 그룹에 할당할 수 있으므로, 회귀 문제에서는 특정 그룹에 소속된 모든 데이터의 예측값에
대한 평균을 구할 수 있습니다.
나이 < 30?
NoYes
건강식을 하나요? 운동을 하나요?
적합 적합
No
Yes NoYes ...
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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.