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该书为《Interpretable Machine Learning》中文版,《Interpretable Machine Learning》是可解释性领域内的第一本著作,深受可解释机器学习研究者的喜爱,并被FloydHub评定为2020年世界最佳机器学习著作之一。该书原作者是 Christoph Molnar,他是一名数据科学家和可解释机器学习博士 @christophM。英文版的项目地址,这是一个很...
https://christophm.github.io/interpretable-ml-book/ Christoph Molnar 2021-01-11 Summary Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is ...
Data availability Data will be uploaded to https://github.com/CMalagaC/ML-CLT-Drifts upon acceptance.Cited by (18) Machine-learning-aided regional post-seismic usability prediction of buildings: 2016–2017 Central Italy earthquakes 2024, Journal of Building Engineering Show abstract Machine learning ...
Christoph Molnar在新书《Interpretable Machine Learning》中对可解释机器学习进行了系统的阐述。介绍了研究机器学习可解释性的必要性,如何在学会运用模型的同时分析模型做出决策的原因。 本书原文地址:christophm.github.io/in 本书建议阅读对象:有一定的机器学习理论基础及应用经验(机器学习初学者可搭配相关资料进行阅读)...
将最优的信用分配与局部解释相结合(详细信息和引用请参阅相关论文:https://github.com/shap/shap#...
之后的章节里关注于一般的模型无关的方法来解释黑盒模型,比如特征重要性【例如:Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks,数据内部表示中的一部分表示相比其他表示更加transferrable,即这些表示在其他任务分布p(T)中都具有广泛的适用性,而非只在一个任务中有效。】、累积的局部效应,以及用...
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源代码在neural-additive-models.github.io. 1. Introduction 虽然深度神经网络在CV[17] 和NLP[31]等任务上取得了令人印象深刻的结果,但众所周知,人们很难理解神经网络究竟是如何进行预测的,而且它们通常被认为是黑盒模型。这阻碍了它们适用于高风险的领域,如医疗保健、金融和刑事司法。人们已经做出了各种努力来 ...
Scikit-learn: machine learning in Python. The Journal of Machine Learning Research 2011; 12: 2825– 30. Google Scholar WorldCat 19 Talos. ( 2019). [Online]. Available: http://github.com/autonomio/talos 20 Kingma DP, Ba J. "Adam: A method for stochastic optimization," arXiv preprin...