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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60
1
부
머신러닝
‘
w
’가 들어간 나라들의 삶의 만족도가
7
보다 크다는 패턴을 감지할지 모릅니다. 뉴질랜드
New
Zealand
(
7
.
3
), 노르웨이
Norway
(
7
.
4
), 스웨덴
Sweden
(
7
.
2
), 스위스
Switzerland
(
7
.
5
)가 여기에 속합
니다. 이
W
-
만족도 규칙을 르완다
Rwanda
나 짐바브웨
Zimbabwe
에 일반화하면 얼마나 신뢰할 수
있을까요? 확실히 이 패턴은 우연히 훈련 데이터에서 찾은 것이지만 이 패턴이 진짜인지 잡음
데이터로 인한 것인지 모델이 구분해낼 방법은 없습니다.
CAUTION
_
과대적합은 훈련 데이터에 있는 잡음의 양에 비해 모델이 너무 복잡할 때 일어납니다. 해결 방법
은 다음과 같습니다.
●
파라미터 수가 적은 모델을 선택하거나 (예를 들면 고차원 다항 모델보다 선형 모델 ), 훈련 데이터에
있는 특성 수를 줄이거나, 모델에 제약을 가하여 단순화시킵니다.
●
훈련 데이터를 더 많이 모읍니다.
●
훈련 데이터의 잡음을 줄입니다 (예를 들면 오류 데이터 수정과 이상치 제거).
모델을 단순하게 하고 과대적합의 위험을 감소시키기 위해 모델에 제약을 가하는 것을 규제
regularization
라고 합니다. 예를 들어 앞서 만든 선형 모델은 두 개의 모델 파라미터
θ
0
과
θ
1
을 가
지고 있습니다. 이는 훈련 데이터에 모델을 맞추기 위한 ...
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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.