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Seller: Amazing Books Pittsburgh, Pittsburgh, PA, U.S.A.
paperback. Condition: Very Good. Excellent condition copy, minimal wear, pages are clean and unmarked. Some mild wear along bottom of covers and exterior spine. Paperback. LW. Seller Inventory # D23011
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 42434543-n
Quantity: Over 20 available
Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: New. New! This book is in the same immaculate condition as when it was published 1.64. Seller Inventory # 353-0128219297-new
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Seller: Book Deals, Tucson, AZ, U.S.A.
Condition: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. 1.64. Seller Inventory # 353-0128219297-gdd
Quantity: 1 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 476. Seller Inventory # 392372856
Quantity: 3 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 300 pages. 9.00x6.00x1.30 inches. In Stock. Seller Inventory # __0128219297
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 476. Seller Inventory # 26387227047
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 42434543
Quantity: Over 20 available
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. 476 pp. Englisch. Seller Inventory # 9780128219294
Quantity: 2 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 476. Seller Inventory # 18387227053
Quantity: 3 available