Seismic Data Insights
Omkar shares fascinating insights into the accuracy of crowdsourced data compared to expert classifications, revealing that while volunteer-labeled data achieved around 80% accuracy, a golden set created by seismologists reached 90%. He explains the innovative use of wavelength scattering transforms and three-channel plots in machine learning to enhance seismic signal classification, highlighting the importance of data variance and reliable volunteer contributions.In this clip
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