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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230
1
부
머신러닝
환합니다. 예를 들어 길이가
5cm
이고 너비가
1
.
5cm
인 꽃잎을 발견했다고 가정합시다. 이
에 해당하는 리프 노드는 깊이
2
에서 왼쪽 노드이므로 결정 트리는 그에 해당하는 확률을 출
력합니다. 즉,
Iris
-
Setosa
는
0
%(
0
/
54
),
Iris
-
Versicolor
는
90
.
7
%(
49
/
54
),
Iris
-
Virginica
는
9
.
3
%(
5
/
54
)입니다. 당연히 클래스를 하나 예측한다면 가장 높은 확률을 가진
Iris
-
Versicolor
(클래스
1
)를 출력할 것입니다. 확인해봅시다.
>>>
tree
_
clf
.
predict
_
proba
([[
5
,
1
.
5
]])
array
([[
0
.
,
0
.
90740741
,
0
.
09259259
]])
>>>
tree
_
clf
.
predict
([[
5
,
1
.
5
]])
array
([
1
])
정확하네요! 추정된 확률은 [그림
6
-
2
]의 오른쪽 아래 사각형 안에서는 어느 위치든 동일합니
다.
2
예를 들어 길이가
6cm
이고 너비가
1
.
5cm
인 꽃잎도 확률이 같습니다 (사실 이 경우에는
Iris
-
Virginica
에 더 가까워 보입니다).
6.4
CART
훈련 알고리즘
사이킷런은 결정 트리를 훈련시키기 위해 (즉, 트리를 성장시키기 위해 )
CART
Classification
And
Regression
Tree
알고리즘을 사용합니다. 이 알고리즘의 ...
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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.