May 2018
Beginner to intermediate
672 pages
16h 54m
Korean
Content preview from 핸즈온 머신러닝: 사이킷런과 텐서플로를 활용한 머신러닝, 딥러닝 실무
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64
1
부
머신러닝
공짜 점심 없음 이론
모델은 관측한 것을 간소화한 것입니다. 간소화의 의미는 새로운 샘플에 일반적이지 않을 것 같은
불필요한 세부사항을 제거하는 것입니다. 그러나 어떤 데이터를 버리고 어떤 데이터를 남길지 정
하기 위해 가정을 해야 합니다. 예를 들어 선형 모델은 데이터가 근본적으로 선형이고 샘플과 직
선 사이의 거리는 무시할 수 있는 잡음이라고 가정합니다.
1996
년에 발표한 유명한 논문
22
에서 데이비드 월퍼트
David
Wolperts
는 데이터에 관해 완벽하게 어
떤 가정도 하지 않으면 한 모델을 다른 모델보다 선호할 근거가 없음을 보였습니다. 이를 공짜 점
심 없음
No
Free
Lunch
(
NFL
) 이론이라 합니다. 어떤 데이터셋에서는 선형 모델이 가장 잘 들어맞지
만 다른 데이터셋에서는 신경망이 잘 들어맞습니다. 경험하기 전에 더 잘 맞을 거라고 보장할 수
있는 모델은 없습니다 (이 이론의 이름이 유래된 이유입니다). 어떤 모델이 최선인지 확실히 아는
유일한 방법은 모든 모델을 평가해보는 것뿐입니다. 이것이 불가능하기 때문에 실전에서는 데이
터에 관해 타당한 가정을 하고 적절한 모델 몇 가지만 평가합니다. 예를 들어 간단한 작업에서는
규제의 수준이 다양한 선형 모델을 평가하고, 복잡한 문제라면 여러 가지 신경망을 평가합니다.
1.6
연습문제 ...
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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.