Using Machine learning tools to gain new insights from Earthquake data - Tech Explorist

Scientists at the Columbia University have discovered a totally new way to study earthquakes. They picked out different types of earthquakes from three years using machine learning algorithms. According to them, these machine learning methods pick out very subtle differences in the raw data that we're just learning to interpret. Scientists particularly identified earthquake recordings at The Geysers in California, one of the world's oldest and largest geothermal fields. They assembled a catalog of 46,000 earthquake recordings, each represented as energy waves in a seismogram. They then mapped changes in the waves' frequency through time, which they plotted as a spectrogram--a kind of musical roadmap of the waves' changing pitches, were they to be converted to sound.