Daniele Trappolini Phd Student in Data Science at Sapienza, University of Rome and INGV.

Courses

Earthquake Physics and Machine Learning

This course will provide a comprehensive summary of how machine learning (ML) is being used to predict frictional failure events, the lab equivalent of earthquakes, and improve our understanding of the physics of catastrophic earthquakes on tectonic faults.

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Foundamental of Data Science

This course covers the fundamentals of data science, including data preprocessing, machine learning, and data visualization.

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Elements of Seismology & Machine Learning

This course introduces the basics of seismology and explores the application of machine learning in seismic waveform analysis.

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