August 2024
Beginner to intermediate
640 pages
14h 53m
Korean
Content preview from AI를 위한 필수 수학
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78
AI
를 위한 필수 수학
(이동
shift
) 상수로 나눈다(스케일 ). 데이터 샘플의 평균 (확률 변수의 기대값 )을 빼고 표준 편
차로 나누면 평균이
0
이고 표준 편차가
1
인 새로운 표준화된 (또는 정규화된) 데이터 값 (확률
변수 )을 얻을 수 있다. 이렇게 하는 대신 최솟값을 빼고 최댓값에서 최솟값을 뺀 값으로 나누
면 새로운 값이 모두
0
과
1
사이에 있는 확률 변수를 얻을 수 있다. 벡터를 정규화한다는 것은
벡터 내의 모든 숫자를 벡터의 길이로 나누어 길이가
1
인 새로운 벡터를 얻는다는 뜻이다. 따
라서 숫자 집합을 정규화, 스케일링, 표준화한다고 할 때의 목표는 변수의 본질적인 가변성을
유지하면서 값을
0
을 중심으로 설정하거나 퍼진 정도를
1
이하로 제한하는 것이다.
38
2.8.15
일반적인 예시
수학자들은 확률 개념을 어떤 사건이 발생할 때까지의 시간으로 표현하기를 좋아한다. 사건의
예로는 동전 던지기, 주사위 굴리기, 항아리에서 공 뽑기, 카드 덱에서 카드 뽑기, 역에 도착하
는 기차, 핫라인에 전화하는 고객, 광고나 웹 사이트 링크를 클릭하는 고객, 질병과 증상, 형사
재판과 증거, 기계 고장 등이 있다. 우리 주변에서 일어나는 많은 일들이 이러한 예에 포함될
수 있다.
우리는 확률 이론 외에도 통계역학
Statistical
Mechanics
(
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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.