October 2018
Beginner to intermediate
328 pages
7h 58m
Korean
Content preview from 데이터 과학을 위한 통계: 데이터 분석에서 머신러닝까지 50가지 핵심 개념
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152
데이터 과학을 위한 통계
용어 정리
•
응답변수(반응변수 )
response
variable
: 예측하고자 하는 변수 (유의어 : 종속변수, 변수
Y
, 목표, 출력 )
•
독립변수
independent
variable
: 응답치를 예측하기 위해 사용되는 변수 (유의어: 변수
X
, 피처, 속성 )
•
레코드
record
: 한 특정 경우에 대한 입력과 출력을 담고 있는 벡터 (유의어: 행, 사건, 예시
instance
, 예제
example
)
•
절편
intercept
: 회귀직선의 절편. 즉,
X
=
0
일 때 예측값 (유의어 :
b
0
,
β
0
)
•
회귀계수
regression
coefficient
: 회귀직선의 기울기 (유의어 : 기울기
slope
,
b
1
,
β
1
, 모수 추정값, 가중치 )
•
적합값
fitted
value
: 회귀선으로부터 얻은 추정치
ˆ
i
Y
(유의어: 예측값 )
•
잔차
residual
: 관측값과 적합값의 차이 (유의어 : 오차 )
•
최소제곱
least
square
: 잔차의 제곱합을 최소화하여 회귀를 피팅하는 방법 (유의어 : 보통최소제곱 )
4.1.1
회귀식
단순선형회귀를 통해
X
가 얼마큼 변하면
Y
가 어느 정도 변하는지를 정확히 추정할 수 있다. 상
관계수의 경우, 변수
X
와
Y
가 서로 바뀌어도 상관없다. 회귀에서는 다음과 같은 식으로 선형
관계(즉,
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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.