CRC Press Large-Scale Machine Learning in the Earth Sciences - CRC Press

Explore the intersection of advanced computing and environmental science with Large-Scale Machine Learning in the Earth Sciences. Part of the Chapman and Hall/CRC Data Mining and Knowledge Discovery Series, this book addresses the growing need for sophisticated data analysis in the Earth sciences field. While machine learning has transformed commercial sectors, its application in environmental studies is still developing, creating significant opportunities for researchers and computer scientists. Edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, this volume serves as a resource for those looking to tackle the challenges of analyzing large data sets. It focuses on using machine learning to answer questions of urgent societal interest, bridging the gap between computer science and environmental application. This text is designed to inspire new approaches to analyzing complex Earth science data through modern computational methods.