May 2022
Beginner to intermediate
448 pages
13h 7m
Korean
book
밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
by Joel Grus, Hangyeol Kim, Seongju Ha, Eunjung Park
Content preview from 밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
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from Scratch
235
나무는 이해할 수 없는 불가사의다.
- 짐 우드링(
Jim
Woodring
)
인재경영실의 부사장은 수많은 입사 후보자를 만나봤는데, 좋은 결과를 얻은 적
도 있고 그러지 못한 적도 있다. 그는 후보자들에 대한 몇 가지 (정성적인) 특징
과 더불어, 각 후보자가 인터뷰를 잘했는지 못했는지를 기록한 데이터를 수집하
고 있었다. 그는 데이터를 건네주며 “이 데이터를 이용해 어떤 후보자들이 좋은
인터뷰를 할지 예측해서, 제가 더 이상 인터뷰하는 데 시간을 낭비하지 않을 수
있게 해줄 수 있습니까?”라고 물어 보았다.
이런 문제에는 또 다른 예측 모델인 의사결정나무(
decision
tree
)가 적합해 보
인다.
17.1
의사결정나무란?
의사결정나무는 다양한 의사결정 경로(
decision
path
)와 결과(
outcome
)를 나
타내는 데 나무 구조를 사용한다.
스무고개
1
놀이를 해본 사람이라면 누구나 의사결정나무에 익숙할 것이다. 예
를 들자면
· “제가 지금 생각하고 있는 것은 동물입니다.”
· “다리가 다섯 개 이상인가요?”
1
(옮긴이)
https://ko.wikipedia.org/wiki/%EC%8A%A4%EB%AC%B4%EA%B3%A0%EA%B0%9C
17
장
Data Science from Scratch
의사결정나무
데이터과학2th.indd ...
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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.