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Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / / by Maurizio Petrelli
| Machine Learning for Earth Sciences : Using Python to Solve Geological Problems / / by Maurizio Petrelli |
| Autore | Petrelli Maurizio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xvi, 209 pages) : illustrations |
| Disciplina | 550.028557 |
| Collana | Springer Textbooks in Earth Sciences, Geography and Environment |
| Soggetto topico |
Earth sciences
Machine learning Artificial intelligence Mathematics Application software Earth Sciences Machine Learning Artificial Intelligence Applications of Mathematics Computer and Information Systems Applications |
| ISBN | 3-031-35114-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Basic Concepts of Machine Learning for Earth Scientists -- Chapter 1. Introduction to Machine Learning -- Chapter 2. Setting Up your Python Environments for Machine Learning -- Chapter 3. Machine Learning Workflow -- Part 2: Unsupervised Learning -- Chapter 4. Unsupervised Machine Learning Methods -- Chapter 5. Clustering and Dimensionality Reduction in Petrology -- Chapter 6. Clustering of Multi-Spectral Data -- Part 3: Supervised Learning -- Chapter 7. Supervised Machine Learning Methods -- Chapter 8. Classification of Well Log Data Facies by Machine Learning -- Chapter 9. Machine Learning Regression in Petrology -- Part 4: Scaling Machine Learning Models -- Chapter 10. Parallel Computing and Scaling with Dask -- Chapter 11. Scale Your Models in the Cloud -- Part 5: Next Step: Deep Learning -- Chapter 12. Introduction to Deep Learning. |
| Record Nr. | UNINA-9910746284003321 |
Petrelli Maurizio
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Python Recipes for Earth Sciences / / by Martin H. Trauth
| Python Recipes for Earth Sciences / / by Martin H. Trauth |
| Autore | Trauth Martin H. |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (463 pages) |
| Disciplina |
550.028557
550.2855133 |
| Collana | Springer Textbooks in Earth Sciences, Geography and Environment |
| Soggetto topico |
Earth sciences
Geophysics Geographic information systems Earth Sciences Geographical Information System |
| ISBN |
9783031077197
9783031077180 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Analysis in the Earth Sciences -- Introduction to Python -- Univariate Statistics -- Bivariate Statistics -- Time Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics -- Directional Data. |
| Record Nr. | UNINA-9910616212103321 |
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Trauth Martin H.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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