5.4 Decision Tree 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.
02. [Recap] Machine Learning - Deep Learning Bible - G. Graph Deep Learning - Eng.
PDF) Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges
5.4 Decision Tree Interpretable Machine Learning
10.5 Influential Instances Interpretable Machine Learning
Combining white box models, black box machines and human interventions for interpretable decision strategies, Judgment and Decision Making
Interpretable Machine Learning
Examining influential factors for acknowledgements classification
Interpretable Machine… by Christoph Molnar [PDF/iPad/Kindle]
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks - ScienceDirect
Examining influential factors for acknowledgements classification
Interpretable Machine Learning
Recent advances in decision trees: an updated survey
Been Kim - Interpretable machine learning, Nov 2015