September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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210
머신러닝 인터뷰 실무 가이드
바 있습니다 ).
모델 평가에 관한 인터뷰 문제 예제
모델 평가 기법과 고려 사항들을 살펴봤으니, 이제 인터뷰 문제 예제들을 살펴보시죠.
인터뷰 문제
4
-
7
:
ROC
지표란 무엇이며, 언제 유용한가요?
답변 예시
ROC
(수신자 조작 특성) 곡선은 이진 분류 모델을 평가하는 데 사용될 수 있습니다. 이 곡선
은 다양한 임계값에서의 참양성률 대 위양성률을 그립니다. 여기서 임계값이란
0
과
1
사이의
확률로, 이보다 높을 경우 예측 결과를 해당 클래스로 간주합니다. 예를 들어, 임계값을
0
.
6
으로 설정하면, 모델의 확률 예측 중 클래스
1
일 확률이
0
.
6
을 초과하는 것들이 클래스
1
로
레이블링됩니다.
ROC
를 사용하면 다양한 임계값에서 참양성률과 위양성률의 트레이드오프를 판단하고 최적
의 임계값을 결정할 수 있습니다.
인터뷰 문제
4
-
8
: 정밀도와 재현율의 차이는 무엇이며, 분류 과업에서 언제 어떤 걸 사용하나요?
답변 예시
정밀도는 모델이 정확한 예측을 하는 능력 (품질 )을 측정하며, 재현율은 모델이 얼마나 많은
관련 항목을 정확하게 예측하는지 (양)를 측정합니다. 수학적으로 정밀도는 참양성 (
TP
) /
(참양성 (
TP
) + 위양성 (
FP
))으로 계산되며, 재현율은 참양성 (
TP
) / (참양성 (
TP
) + 위음
성(
FN
)) ...
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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.