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Machine Learning Subsurface Characterization by Misra Siddharth (16 results)
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Paperback. Condition: Acceptable. Softcover. Excellent condition but does contain a minimal amount of highlighting (mostly in chapter 1-all text is legible). Intact, complete. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.
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US$ 145.46
US$ 8.67 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: New.
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Condition: New.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 160.28
US$ 23.11 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: As New. Unread book in perfect condition.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 180.54
US$ 15.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 180.53
US$ 20.00 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 198.55
US$ 20.00 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Taschenbuch. Condition: Neu. Machine Learning for Subsurface Characterization | Siddharth Misra (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2019 | Gulf Professional Publishing | EAN 9780128177365 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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US$ 191.71
US$ 56.45 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods imp.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: new. Questo è un articolo print on demand.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
US$ 146.78
US$ 16.67 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 230 pages. 9.00x6.00x0.51 inches. In Stock. This item is printed on demand.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Englisch.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.
