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Exploring Machine Learning's Potential in Complex Phenomena
This chapter explores how machine learning can reveal complex phenomena like superconductivity through phenomenological modeling. It showcases a case study on using deep learning for predicting aerodynamic properties and underscores the value of human context and historical insights in applying these techniques.