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Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges
Ziheng Sun
(Illustrated by)
·
Nicoleta Cristea
(Illustrated by)
·
Pablo Rivas
(Illustrated by)
·
Elsevier
· Paperback
Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges - Sun, Ziheng ; Cristea, Nicoleta ; Rivas, Pablo
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Synopsis "Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges"
Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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