408,41 €
453,79 €
-10% with code: EXTRA
Artificial Intelligence in Earth Science
408,41 € 
- We will send in 10–14 business days.
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…
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- Publisher: Elsevier
- ISBN-10: 0323917372
- ISBN-13: 9780323917377
- Format: 19.1 x 23.5 x 2.2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Artificial Intelligence in Earth Science (e-book) (used book) | bookbook.eu
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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.EXTRA 10 % discount with code: EXTRA
408,41 €
453,79 €
We will send in 10–14 business days.
The promotion ends in 15d.09:52:36
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Elsevier
- ISBN-10: 0323917372
- ISBN-13: 9780323917377
- Format: 19.1 x 23.5 x 2.2 cm, softcover
- Language: English English
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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