Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /

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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The refere...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Belyadi, Hoss (Auteur), Haghighat, Alireza (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge, MA : Gulf Professional Publishing, 2021.
Sujets:
Petroleum engineering > Data processing.
Natural gas > Data processing.
Machine learning.
Technique du p�etrole > Informatique.
Gaz naturel > Informatique.
Apprentissage automatique.
Machine learning
Natural gas > Data processing
Petroleum engineering > Data processing
Accès en ligne:Texto completo
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Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
Texto completo (Requiere registro previo con correo institucional)
Électronique eBook
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