Machine Learning Guide for Oil and Gas Using Python
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Published By Elsevier

9780128219294

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Machine learning workflows and types

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00001-9 ◽

2021 ◽

pp. 97-123

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Machine Learning

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Supervised learning

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00004-4 ◽

2021 ◽

pp. 169-295

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Supervised Learning

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Neural networks and Deep Learning

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00008-1 ◽

2021 ◽

pp. 297-347

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Neural Networks ◽

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Copyright

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.12001-3 ◽

2021 ◽

pp. iv

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Introduction to machine learning and Python

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00006-8 ◽

2021 ◽

pp. 1-55

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Machine Learning

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Unsupervised machine learning: clustering algorithms

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00002-0 ◽

2021 ◽

pp. 125-168

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Machine Learning ◽

Clustering Algorithms ◽

Unsupervised Machine Learning

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Model evaluation

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00009-3 ◽

2021 ◽

pp. 349-380

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Model Evaluation

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Biography

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.11001-7 ◽

2021 ◽

pp. xi

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Evolutionary optimization

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.00005-6 ◽

2021 ◽

pp. 419-454

Author(s):

Hoss Belyadi ◽

Alireza Haghighat

Keyword(s):

Evolutionary Optimization

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Front Matter

Machine Learning Guide for Oil and Gas Using Python ◽

10.1016/b978-0-12-821929-4.01001-5 ◽

2021 ◽

pp. iii

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