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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145
3
장
통계적 실험과 유의성 검정
3.10.1
더 읽을 거리
• 존 마일즈 화이트의 『
Bandit
Algorithms
』(
O
’
Reilly
,
2012
)에서
MAB
에 대한 짧지만 아주 훌륭한 설명을
찾아볼 수 있다. 화이트는 파이썬 코드뿐만 아니라 이 알고리즘의 성능을 평가하기 위한 시뮬레이션 결과도 기
술했다.
• 톰슨 샘플링에 대한 (다소 기술적인 ) 추가 정보는 시프라 아그라와
Shipra
Agrawal
와 나빈 고얄
Navin
Goyal
의
「
Analysis
of
Thompson
Sampling
for
the
Multi
-
armed
Bandit
Problem
」을 참고하자.
http
://
proceedings
.
mlr
.
press
/
v23
/
agrawal12
/
agrawal12
.
pdf
3.11
검정력과 표본크기
웹 테스트를 수행할 경우 실행 시간 (즉, 처리당 얼마나 많은 노출이 필요할까? )은 어떻게 결정
할까? 웹 테스트에 대한 수많은 관련 자료들을 인터넷에서 쉽게 찾을 수 있다. 하지만 모든 경
우에 딱 맞는 일반적인 방법은 없고, 다만 원하는 달성 목표에 따라 조절해야 한다.
용어 정리
•
효과크기
effect
size
: ‘클릭률의
20
% 향상’과 같이 통계 검정을 통해 판단할 수 있는 효과의 최소 크기
•
검정력
power
: 주어진 표본크기로 주어진 효과크기를
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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.