Machine Learning Insights
Machine learning holds great promise, but its success hinges on the quality of data and expert involvement. Suzan emphasizes the need for well-curated datasets, while Omkar discusses a cyclic approach where volunteers aid in classification, enhancing the ML algorithm over time. This collaboration between experts and machine learning can streamline the analysis process in seismology.In this clip
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