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
206
loss = sum
_
of
_
sqerrors(alpha, beta,
num
_
friends
_
good, daily
_
minutes
_
good)
t.set
_
description(f"loss: {loss:.3f}")
#
최종적으로
,
추측을
갱신한다
.
guess = gradient
_
step(guess, [grad
_
a, grad
_
b], -learning
_
rate)
#
비슷한
결과를
얻어야
한다
.
alpha, beta = guess
assert 22.9 < alpha < 23.0
assert 0.9 < beta < 0.905
앞의 코드를 실행하면 정확한 공식을 사용한 것과 같은 알파와 베타 값을 얻을
것이다.
14.3
최대가능도추정법
최소자승법을 사용한 이유는 무엇일까? 한 가지 이유는 최대가능도추정법(
max
-
imum
likelihood
estimation
,
MLE
) 때문이다. 가령 임의의 파라미터
θ
에 의존
하는 분포에서
v
1
, ... ,
v
n
라는 표본 데이터가 주어졌다고 해보자.
p(v
1
, ..., v
n
|
θ
)
θ
를 모른다면, 위의 확률을 표본이 주어졌을 때
θ
가 발생할 가능도(
likelihood
)
로 바꿔서 생각해 볼 수 있다.
L(
θ
|v
1
, ..., v
n
)
이 경우 가장 적절한
θ
는 가능도를 최대화해 주는 값이다. 즉, 관측된 ...
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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.