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Interpretable Machine Learning in Physics: A Review
- Machine learning is transforming scientific fields by enabling scientific discoveries beyond human capabilities.
- Interpretable machine learning allows experts to comprehend the concepts underlying predictions.
- It increases trust in black-box methods, helps reduce errors, and enhances human-AI collaboration.
- This review examines the role of interpretability in machine learning applied to physics.
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