August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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330
2
fastai 애플리케이션 계층 이해하기
열이 필요하지도 않습니다. 그렇지만 여전히
SF
, 액션, 영화 개봉 시기 등의 의미를 표현할 방
법이 있어야 하며, 적어도 사용자가 영화를 고른 이유와 연결고리가 있어야 합니다. 이런 정보
는 명시적으로 존재하지 않지만, 잠재 요소가 이를 잠재적으로 표현하죠.
이 장에서는 영화 추천 문제를 다룹니다. 우선 협업 필터링 모델에 적합한 데이터를 가져오며
시작해보죠.
8.1
넷플릭스의 영화 시청 기록 데이터셋을 얻을 수는 없지만, 무비렌즈
MovieLens
(
https
://
oreil
.
ly
/
gP3Q5
)라는 훌륭한 데이터셋을 활용할 수 있습니다. 이 데이터셋은 영화 평점 정보 (영화
ID
, 사용자
ID
, 영화 평점의 조합)를 수천만 개 제공합니다. 우리는 그중 일부인
10
만 개만 사
용합니다. 나중에 모든 데이터(
2
,
500
만 개)를 사용해서도 시도해보길 바랍니다. 훌륭한 학습
용 프로젝트가 될 것입니다.
공통으로 사용하는
fastai
의
untar
_
data
함수로 데이터셋을 얻습니다.
from fastai.collab import *
from fastai.tabular.all import *
path = untar_data(URLs.ML_100k)
README
파일에 따르면 기본 테이블은
u
.
data
파일에 있습니다. ...
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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.