来源丨新智元
近年来，可解释机器学习（IML） 的相关研究蓬勃发展。尽管这个领域才刚刚起步，但是它在回归建模和基于规则的机器学习方面的相关工作却始于20世纪60年代。最近，arXiv上的一篇论文简要介绍了解释机器学习(IML)领域的历史，给出了最先进的可解释方法的概述，并讨论了遇到的挑战。
可解释机器学习（IML）简史
IML中的常见方法
IML发展中遇到的挑战
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本篇文章来源于: 深度学习这件小事
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