September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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CHAPTER
기술 인터뷰:
모델 학습 및 평가
04
176
머신러닝 인터뷰 실무 가이드
이 장에서는 머신러닝 모델 학습 과정과 관련된 인터뷰 문제들을 다룰 것입니다. 많은 실무
자에게 모델 학습은 가장 재미있는 부분이며, 저 역시 그렇게 생각합니다. 학습 과정을 통해
모델이 점점 더 정확해지는 것을 보는 건 매우 즐겁습니다. 그러나, 머신러닝 모델 학습, 하
이퍼파라미터 튜닝
hyperparameter
tuning
, 다양한 알고리즘을 사용한 실험을 진행하는 것 모두 데이
터를 필요로 합니다. 머신러닝의 핵심은 알고리즘이 데이터에서 패턴을 찾고, 그 패턴을 바
탕으로 예측 및 결정을 내리게 하는 것입니다. 유용한 데이터는 머신러닝의 토대이며, 업계
속담 그대로 “쓰레기를 입력하면 쓰레기가 출력된다”입니다. 즉, 머신러닝 모델이 쓸모없는
데이터로 학습되면, 학습 결과로 만들어지는 모델과 이를 통한 추론도 쓸모없게 됩니다.
이 장에서 저는 원시 데이터를 머신러닝 알고리즘에 유용한 (그리고 호환 가능한 ) 형식으로
변환하는 데이터 프로세싱 및 정제에 대한 개요를 살펴보는 것부터 시작합니다. ...
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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.