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