May 2018
Beginner to intermediate
672 pages
16h 54m
Korean
Content preview from 핸즈온 머신러닝: 사이킷런과 텐서플로를 활용한 머신러닝, 딥러닝 실무
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152
1
부
머신러닝
3.8
연습문제
1
.
MNIST
데이터셋으로 분류기를 만들어 테스트 세트에서
97
% 정확도를 달성해보세요. 힌
트:
KNeighborsClassifier
가 이 작업에 아주 잘 맞습니다. 좋은 하이퍼파라미터 값만 찾
으면 됩니다 (
weights
와
n
_
neighbors
하이퍼파라미터로 그리드 탐색을 시도해보세요 ).
2
.
MNIST
이미지를 (왼, 오른, 위, 아래 ) 어느 방향으로든 한 픽셀 이동시킬 수 있는 함수를
만들어보세요.
16
그런 다음 훈련 세트에 있는 각 이미지에 대해 네 개의 이동된 복사본(방
향마다 한 개씩)을 만들어 훈련 세트에 추가하세요. 마지막으로 이 확장된 데이터셋에서
앞에서 찾은 최선의 모델을 훈련시키고 테스트 세트에서 정확도를 측정해보세요. 모델 성
능이 더 높아졌는지 확인해보세요! 인위적으로 훈련 세트를 늘리는 이 기법을 데이터 증식
또는 훈련 세트 확장
training
set
expansion
이라고 합니다.
3
.
타이타닉
Titanic
데이터셋에 도전해보세요. 캐글
Kaggle
에서 시작하면 좋습니다 (
https
://
www
.
kaggle
.
com
/
c
/
titanic
).
4
.
스팸 분류기를 만들어보세요 (아주 도전적인 과제입니다).
●
아파치 스팸어쌔신
Apache
SpamAssassin
공공 데이터셋
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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.