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Interpretable Machine Learning: FundamentalPrinciples and 10 Grand Challenges
Insight Miner 2022. 8. 25. 08:30반응형
https://arxiv.org/abs/2103.11251
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. In this work, we provide fundamental principles for interpretable ML, and dispel common misunderstandings that dilute the importance of this crucial topic.
arxiv.org
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