May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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236
1
부
머신러닝
도는 특성 수와 무관하게
( )
)(
log
mO
2
입니다. 그래서 큰 훈련 세트를 다룰 때도 예측 속도가
매우 빠릅니다.
훈련 알고리즘은 각 노드에서 모든 훈련 샘플의 모든 (또는
max
_
features
가 지정되었다면 그
보다는 적은 ) 특성을 비교합니다. 각 노드에서 모든 샘플의 모든 특성을 비교하면 훈련 복잡도
는
( )
)log (mmnO ×
2
이 됩니다. 훈련 세트가 (수천 개 이하의 샘플 정도로) 작을 경우 사이킷
런은 (
presort
=
True
로 지정하면 ) 미리 데이터를 정렬하여 훈련 속도를 높일 수 있습니다.
5
하지만 훈련 세트가 클 경우에는 속도가 많이 느려집니다.
6.6
지니 불순도 또는 엔트로피?
기본적으로 지니 불순도가 사용되지만
6
criterion
매개변수를
"
entropy
"
로 지정하여
엔트
로피
불순도를 사용할 수 있습니다. 엔트로피는 분자의 무질서함을 측정하는 것으로 원래 열역
학의 개념입니다. 분자가 안정되고 질서 정연하면 엔트로피가
0
에 가깝습니다. 엔트로피는 후
에 여러 분야에 퍼졌습니다. 메시지의 평균 정보 양을 측정하는 섀넌의
정보 이론
도 여기에 포
함됩니다.
7
여기서는 모든 메시지가 동일할 때 엔트로피가
0
이 됩니다. 머신러닝에서는 불순도
의 측정 방법으로 자주 사용됩니다. 어떤 세트가 한 클래스의 샘플만 담고 있다면 ...
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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.