April 2019
Beginner to intermediate
480 pages
12h 34m
Korean
Content preview from 파이썬 라이브러리를 활용한 머신러닝(번역개정판): 사이킷런 핵심 개발자가 쓴 머신러닝과 데이터 과학 실무서
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3
장
비지도 학습과 데이터 전처리
175
우리가 다룰 두 번째 머신러닝 알고리즘 종류는 비지도 학습
unsupervised
learning
입니다. 비지도 학
습이란 알고 있는 출력값이나 정보 없이 학습 알고리즘을 가르쳐야 하는 모든 종류의 머신러닝
을 가리킵니다. 비지도 학습에서 학습 알고리즘은 입력 데이터만으로 데이터에서 지식을 추출
할 수 있어야 합니다.
3.1
비지도 학습의 종류
이번 장에서는 두 가지 비지도 학습을 살펴보겠습니다. 바로 데이터의 비지도 변환
unsupervised
transformation
과 군집
clustering
입니다.
비지도 변환
은 데이터를 새롭게 표현하여 사람이나 다른 머신러닝 알고리즘이 원래 데이터보다
쉽게 해석할 수 있도록 만드는 알고리즘입니다. 비지도 변환이 널리 사용되는 분야는 특성이
많은 고차원 데이터를 특성의 수를 줄이면서 꼭 필요한 특징을 포함한 데이터로 표현하는 방법
인 차원 축소
dimensionality
reduction
입니다. 차원 축소의 대표적 예는 시각화를 위해 데이터셋을
2
차
원으로 변경하는 경우입니다.
비지도 변환으로 데이터를 구성하는 단위나 성분을 찾기도 합니다. 많은 텍스트 문서에서 주제
를 추출하는 것이 이런 예입니다. 이때 처리할 작업은 문서에서 이야기하는 주제들이 무엇인지
찾고 학습하는 것입니다. 이는
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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.