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AI · 인공지능/AI 칼럼

해석 가능한 머신러닝(Interpretable Machine Learning) 번역본

by 두우우부 2021. 6. 6.
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블로그 돌아다니다 좋은 자료를 발견해서 링크 남겨둡니다.

 

해석 가능한 머신 러닝

저자 : Christoph Molnar

번역 : TooTouch( 허재혁 : https://tootouch.github.io/ )

 

원본

Molnar, Christoph. “Interpretable machine learning. A Guide for Making Black Box Models Explainable”, 2019. 

 

Interpretable Machine Learning

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.

christophm.github.io

 

번역본

 

역자의 말

Interpretable Machine Learning

tootouch.github.io

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