Machine Learning Earth Sciences by Petrelli Maurizio (37 results)

Language: English
Published by Springer, 2021
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Language: English
Published by Springer, 2021
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer International Publishing AG, Cham, 2024
- Softcover
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Paperback. Condition: new. Paperback. This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typical work…flow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals. This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. It describes the main Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer 2022-09-17, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Paperback. Condition: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.

Language: English
Published by Springer 2022-09-17, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Paperback. Condition: New.

Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Condition: Wie Neu. Zustandsbeschreibung: leichte Lagerspuren, Rücken minimal bestoßen/minor shelfwear, spine minimally bumped. Using Python to Solve Geological Problems. XVI,209 Seiten mit 99 Farb- und drei s/w-Abb., gebunden (Springer Textbooks in Earth Sciences, Geography and Environment/Springer-Verlag 2023). Statt EUR 85,59…. Gewicht: 507 g - Gebunden/Gebundene Ausgabe.

Language: English
Published by Springer, 2022
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Softcover
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Paperback. Condition: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.

Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Language: English
Published by Springer, 2021
Series: Book 29 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main…Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals.

- Softcover
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Taschenbuch. Condition: Neu. Machine Learning for Earth Sciences | Using Python to Solve Geological Problems | Maurizio Petrelli | Taschenbuch | xvi | Englisch | 2024 | Springer | EAN 9783031351167 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.

Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Language: English
Published by Springer International Publishing AG, Cham, 2024
- Softcover
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Paperback. Condition: new. Paperback. This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typical work…flow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals. This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. It describes the main Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Language: English
Published by Springer Nature, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 209 pages. 9.25x6.25x0.75 inches. In Stock.

Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Language: English
Published by Springer, Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python…tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals.

- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Condition: gut. 2023. Machine Learning for Earth Sciences In deutscher Sprache. pages.

- Softcover
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Language: English
Published by Springer, 2023
Series: Book 49 of 55 - Springer Textbooks in Earth Sciences, Geography and Environment
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, Berlin, Springer International Publishing, University Of Perugia, Springer, 2024
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It des…cribes the main Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals. 209 pp. Englisch.