August 2024
Beginner to intermediate
640 pages
14h 53m
Korean
Content preview from AI를 위한 필수 수학
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74
AI
를 위한 필수 수학
2.8.4
균등 분포와 정규 분포
균등 분포
uniform
distribution
와 정규 분포
normal
distribution
는 가장 많이 사용되는 연속 분포다. 정규 분
포는 확률 이론의 기본 중심 극한 정리
central
limit
theorem
와 밀접한 관련이 있다. 많은 데이터를 접
하다 보면 다양한 확률 변수를 나타내는 유용한 분포가 많지만 당장 필요한 것은 아니므로 필
요한 시점에 설명하도록 하겠다.
2.8.5
조건부 확률과 베이즈 정리
여러 개의 확률 변수를 다루는 경우를 생각해보자. 사실 대부분의 경우가 여기에 해당될 것이
다. 앞서 다룬 예시만 해도 성별, 키, 체중, 건강 지수 데이터 등 여러 개의 확률 변수를 다룬다.
이렇게 여러 확률 변수를 동시에 다루는 순간부터 독립 또는 조건부 독립인 확률 변수 (한 변수
의 확률을 안다고 해서 다른 변수의 확률이 달라지지 않는 것 )의 개념을 비롯하여 조건부 확률
conditional
probability
, 베이즈 정리
Bayes
’
theorem
, 조건부 확률의 곱 또는 연쇄 규칙을 배우게 된다.
2.8.6
조건부 확률과 결합 분포
조건부 확률과 결합 분포
joint
distribution
모두 여러 개의 확률 변수를 다루므로 당연히 서로 관련이
깊다. 결합 확률 분포 그래프에서 ...
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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.