August 2024
Beginner to intermediate
640 pages
14h 53m
Korean
Content preview from AI를 위한 필수 수학
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311
Chapter 7 -
자연어 처리와 금융 인공지능: 벡터화와 시계열 분석
7.12
금융 인공지능
지금까지 대부분의 인공지능 모델의 기본 구조에 대해 알아봤다 (그래프는 다른 수학적 구조
를 가지고 있으므로 <
Chapter
9
그래프 모델>에서 그래프 신경망에 대해 설명할 것이다). 인
공지능 모델은 금융 분야에서도 광범위하게 사용된다. 이 시점에서 금융 애플리케이션을 언급
하는 것만으로도 인공지능을 사용하여 모델링하는 방법에 대한 좋은 아이디어를 얻을 수 있다.
게다가 다양한 금융 애플리케이션에서 고객 리뷰를 기반으로 마케팅 관련 의사 결정을 하거나
모델의 출력만으로 경제 동향을 예측하고 있다.
다음 예시는 금융 분야에서 인공지능을 응용한 사례다. 지금까지 배운 것을 활용하여 이러한
문제들을 모델링하는 방법에 대해 생각해보자.
●
주식 시장 시계열 예측
순환 신경망은 일련의 입력을 받아 일련의 출력을 만들 수 있다. 이는 주식 가격에 필요한 시계열 예측에 유
용하다. 지난
n
일 동안의 가격을 입력하면 신경망은 지난
n
-
1
일 동안의 가격과 내일의 가격을 출력한다.
●
금융, 역학, 피드백 제어 분야에서 활용되는 자기회귀 이동 평균 (
ARMA
) 모델
이 책에는 주식 시장에 관한 예제가 여러 번 등장한다. <
Chapter
11
확률>에서 배울 확률적 ...
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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.