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

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

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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Detalles Bibliográficos
Otros Autores: Belyadi, Hoss, author (author), Haghighat, Alireza, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam, The Netherlands : Gulf Professional Publishing [2021]
Materias:
Petroleum engineering > Data processing.
Natural gas > Data processing.
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009670618506719

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