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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Belyadi, Hoss (Author), Haghighat, Alireza (Author)
Format: Electronic eBook
Language:Inglés
Published: Cambridge, MA : Gulf Professional Publishing, 2021.
Subjects:
Petroleum engineering > Data processing.
Natural gas > Data processing.
Machine learning.
Technique du pétrole > Informatique.
Gaz naturel > Informatique.
Apprentissage automatique.
Machine learning
Natural gas > Data processing
Petroleum engineering > Data processing
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Texto completo (Requiere registro previo con correo institucional)

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