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.
Examining influential factors for acknowledgements classification
Interpretable Machine Learning
Interpretable Machine… by Christoph Molnar [PDF/iPad/Kindle]
Interpretable AI: Decision Trees. In my previous posts, I addressed…, by Shruti Misra
A survey on the interpretability of deep learning in medical diagnosis
Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts
MAPLE: Towards Interpretable Tree Ensembles – Machine Learning Blog, ML@CMU
Application of interpretable machine learning for early prediction of prognosis in acute kidney injury - ScienceDirect
Interpretable Machine… by Christoph Molnar [PDF/iPad/Kindle]
Transparency of Machine Learning Models in Credit Scoring
