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Edité par Elsevier - Health Sciences Division, 2023
ISBN 10 : 0323917372 ISBN 13 : 9780323917377
Langue: anglais
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ISBN 10 : 0323917372 ISBN 13 : 9780323917377
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - 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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Edité par Elsevier - Health Sciences Division, US, 2023
ISBN 10 : 0323917372 ISBN 13 : 9780323917377
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Ajouter au panierPaperback. Etat : New. 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.
Edité par Elsevier - Health Sciences Division, 2023
ISBN 10 : 0323917372 ISBN 13 : 9780323917377
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Ajouter au panierPaperback. Etat : New. 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.
Edité par Elsevier - Health Sciences Division, Philadelphia, 2023
ISBN 10 : 0323917372 ISBN 13 : 9780323917377
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Elsevier - Health Sciences Division, Philadelphia, 2023
ISBN 10 : 0323917372 ISBN 13 : 9780323917377
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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