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Machine Learning Earth Sciences by Petrelli Maurizio (41 results)
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 29 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good. Cover and edges may have some wear.
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![Seller image for Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment) [Hardcover] Petrelli, Maurizio for sale by Academic US](https://pictures.abebooks.com/inventory/md/md32283970473.jpg)
Hardcover. Condition: New. Brand new. Excellent customer service.
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Machine Learning for Earth Sciences (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031351169 ISBN 13: 9783031351167
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 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. 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.
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 29 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Paperback. Condition: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 29 of 55: Springer Textbooks in Earth Sciences, Geography and Environment£ 58.23
£ 15.49 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Machine Learning for Earth Sciences
Book 49 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: SKULIMA Wiss. Versandbuchhandlung, Westhofen, Germany
Seller rating 5 out of 5 stars
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.
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Paperback. Condition: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.
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Machine Learning for Earth Sciences: Using Python to Solve Geological Problems (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 49 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 76.40
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 29 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 81.52
£ 11.98 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 Earth Sciences: Using Python to Solve Geological Problems (Springer Textbooks in Earth Sciences, Geography and Environment)
Book 49 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Acceptable. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Machine Learning for Earth Sciences : Using Python to Solve Geological Problems
Language: English
Published by Springer International Publishing, 2024
ISBN 10: 3031351169 ISBN 13: 9783031351167
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.
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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.
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Machine Learning For Earth Sciences
Book 49 of 55: Springer Textbooks in Earth Sciences, Geography and EnvironmentSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Earth Sciences (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031351169 ISBN 13: 9783031351167
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 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. 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.
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Hardcover. Condition: Brand New. 209 pages. 9.25x6.25x0.75 inches. In Stock.
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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.
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
