Book review: Machine Learning Methods in Geoscience
New book from the Society of Exploration Geophysicists covers a lot of ground. From the history of machine learning, to its potential to best ‘teams of geoscientists’ with ‘magical’ ease. A mathematical background is completed with examples in Matlab and Python. Applications covered include fault picking, seismic inversion, potential field methods and finite-difference modeling of 3D data. Theoretical basis for ML success remains elusive but a ‘shut up and compute’ approach is accelerating.