Interpretable Machine Learning: FundamentalPrinciples and 10 Grand Challenges
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
Work/Data Science|Machine;Deep Learning
2022. 8. 25. 08:30
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