Learn fundamental concepts of machine learning and their applications in geoscience. The course presents the theoretical foundations and practical applications of linear regression, logistic regression, deep neural networks, convolutional neural networks (CNN), dimensionality reduction, recurrent neural networks, and generative networks. Each method is accompanied with Python exercises, most of which are applied to geophysical data.