May 2021
Beginner to intermediate
380 pages
9h 22m
Korean
Content preview from 데이터 과학을 위한 통계(2판)
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156
데이터 과학을 위한 통계
3.10
멀티암드 밴딧 알고리즘
멀티암드 밴딧
4
알고리즘은 실험설계에 대한 전통적인 통계적 접근 방식보다 명시적인 최적화
와 좀 더 빠른 의사 결정을 가능하게 하며, 여러 테스트, 특히 웹 테스트를 위해 사용된다.
용어 정리
•
멀티암드 밴딧 (
MAB
)
multi
-
armed
bandit
: 고객이 선택할 수 있는 손잡이가 여러 개인 가상의 슬롯머신을
말하며, 각 손잡이는 각기 다른 수익을 가져다준다. 다중 처리 실험에 대한 비유라고 생각할 수 있다.
•
손잡이
arm
: 실험에서 어떤 하나의 처리를 말한다 (예를 들면 ‘웹 테스트에서 헤드라인
A
’).
•
상금 (수익 )
win
: 슬롯머신으로 딴 상금에 대한 실험적 비유 (예를 들면 ‘고객들의 링크 클릭 수’)
전통적인
A
/
B
검정은 특정하게 설계된 실험을 통해 수집된 데이터를 이용하여 ‘처리
A
나 처리
B
둘 중 어느 쪽이 더 좋은가?’와 같이 정해진 질문에 대한 답을 준다. 일단 답을 얻고 나면 실
험은 멈추고 결과에 따라 행동한다.
이러한 접근에 몇 가지 어려움을 느낄 수도 있다. 첫째, 결론을 내리기 어려울 수 있다. ‘입증되
지 않은 효과’, 즉 실험 결과를 통해 효과가 있다는 것을 유추할 수는 있지만, 효과가 있더라도
그것을 입증할 만한 (전통적인 통계 표준을 만족시킬 만한 ...
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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.