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Artificial Intelligence in Earth Science : Best Practices and Fundamental Challenges Paperback / softback
Edited by Ziheng (Principal Investigator, Center for Spatial Information Science and Systems, George Maso Sun, Nicoleta (Research scientist, Department of Civil and Environmental Engineering, University Cristea, Pablo (Assistant Professor of Computer Science, Baylor University, USA) Rivas
Paperback / softback
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Description
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.
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:430 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:26/04/2023
- Category:
- ISBN:9780323917377
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:430 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:26/04/2023
- Category:
- ISBN:9780323917377