이 책에서 제공하는 요약 내용 외에 통계적 기법 및 기초적인 기법과 관련된 지식을 더 보충하고 싶다면 다음
자료를 추천합니다.
●
『
The
Elements
of
Statistical
Learning
(통계적 학습의 원리)』(
Springer
,
2009
)(
https
://
oreil
.
ly
/
oZ5si
)
●
『
An
Introduction
to
Statistical
Learning
:
with
Applications
in
Python
(파이썬으로 하는
응용 사례 기반의 통계적 학습 입문)』(
Springer
,
2023
)(
https
://
oreil
.
ly
/
bhhoq
)
●
DeepLearning
.
AI
와 앤드류 응의
Coursera
강좌: 이 자료는 이번 장에서 다루는 다른 머신러닝 주
제에도 유용합니다(해당 강좌는 가끔 변경되고 갱신되기도 합니다).
●
머신러닝 인터뷰 입문(
https
://
oreil
.
ly
/
p1NEd
)에는 이 장의 대부분의 절에서 참조할 ...
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