Machine Learning for Earth Sciences

<p>This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML the typical workflow of ML applications in Earth Sciences and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields such as the clustering and dimensionality reduction in petro-volcanological studies the clustering of multi-spectral data well-log data facies classification and machine learning regression in petrology. Also the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists at any level from students to academics and professionals.</p><p></p>