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Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications (en Inglés)
Hossein Bonakdari; Isa Ebtehaj; Joseph D. Ladouceur (Autor)
·
Elsevier
· Tapa Blanda
Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications (en Inglés) - Hossein Bonakdari; Isa Ebtehaj; Joseph D. Ladouceur
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Reseña del libro "Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications (en Inglés)"
Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing extreme learning machine and neural networks to Earth and environmental data. The book provides guided examples using real world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common post-processing techniques required for correct data interpretation. It provides students, academic and researchers with detailed understanding on how neural networks work, how to prepare data and how to interpret the results.
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