Why is the interpretability of machine learning models crucial in real-world applications, influencing decision-making, regulatory compliance, and user trust, and which techniques are prominent in achieving it?
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Hi, please find this recent research applying unsupervised machine learning for early plant diseases detection:
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L1 and L2 regularization
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