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밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
book

밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초

by Joel Grus, Hangyeol Kim, Seongju Ha, Eunjung Park
May 2022
Beginner to intermediate
448 pages
13h 7m
Korean
Insight
Content preview from 밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
from Scratch
187
󽴜󽴔󺠣󽴔󺇄󻉏󼩃󽴔󻇃󺆯󽴔󻟅󺞳󺽃
것을 충분히 느낄 수 있었을 것이다. 데이터가 기하급수적으로 많아지지 않으
면, 고차원에서의 빈 공간은 우리가 예측하고 싶은 값을 포함한 모든 점에게 공
통적으로 먼 공간이 된다.
따라서 고차원에서
k
-
NN
을 이용하려면 먼저 차원 축소를 하는 것이 좋을 것
이다.
12.4
더 공부해 보고 싶다면
·
scikit
-
learn
에서 다양한 근접 이웃
1
모델을 확인할 수 있다.
1
https://scikit-learn.org/stable/modules/neighbors.html
데이터과학2th.indd 187 2020-02-28 오전 9:55:20
데이터과학2th.indd 188 2020-02-28 오전 9:55:20
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Publisher Resources

ISBN: 9788966262571