Ge 264

Machine Learning in Geophysics

9 units (3-0-6)  |  third term
Prerequisites: Ge 118 or equivalent.
An overview of machine learning algorithms and their usage in current geophysical research. Both supervised and unsupervised learning will be covered. Algorithms include deep neural networks, ensemble learning, clustering, and dimensionality reduction. The course will address data requirements, current limitations, and the role of machine learning in the future of geophysics.
Instructor: Ross

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