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Limitations of Machine Learning: Data Dependency : Machine learning models require vast amounts of high-quality data, which can be difficult and expensive to obtain. Poor or biased data leads to ...
Microsoft’s efforts have some echoes of forays into DFT by Google DeepMind, which released a machine learning functional (Science 2021, DOI: 10.1126/science.abj6511) to significant fanfare ...
ML-HDPM outperforms other algorithms in training (95%) and testing (88%). The success is due to the combination of complex feature extraction, data imbalance corrections, and machine learning.
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