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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Data Science
292
return min(range(self.k),
key=lambda i: squared
_
distance(input, self.means[i]))
def train(self, inputs: List[Vector]) -> None:
#
일단
임의로
군집을
할당한다
.
assignments = [random.randrange(self.k) for
_
in inputs]
with tqdm.tqdm(itertools.count()) as t:
for
_
in t:
#
중심점을
구한
후
군집을
새로
할당한다
.
self.means = cluster
_
means(self.k, inputs, assignments)
new
_
assignments = [self.classify(input) for input in inputs]
#
군집이
바뀐
수를
세고
종료할
것인지를
판단
num
_
changed = num
_
differences(assignments, new
_
assignments)
if num
_
changed == 0:
return
#
그렇지
않으면
새로
할당된
군집을
저장하고
,
새
중심점을
구한다
.
assignments = new
_
assignments
self.means = cluster
_
means(self.k, inputs, assignments) ...
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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.
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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.