Machine learning for earth sciences : (Record no. 15410)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01640cam a2200229 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | TB12827 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260313154421.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170518s2017 flua 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031351167 (pbk.) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 550.285631 |
| Book number | PET/M |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Petrelli, Maurizio |
| Relator term | Author |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning for earth sciences : |
| Sub Title | using python to solve geological problems / |
| Statement of responsibility, etc | Maurizio Petrelli. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Switzerland : |
| Name of publisher | Springer Nature, |
| Year of publication | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 209 p. : |
| Other physical details(ill.) | illustrations, maps (some color) ; |
| Dimensions(size) | 27 cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Earth sciences |
| General subdivision | Computer network resources. |
| Topical Term | Earth sciences |
| General subdivision | Data processing. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| Koha issues (borrowed), all copies | 1 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | SEOCS | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 24/02/2026 | 26 | 4687.57 | 550.285631 PET/M | TB12827 | 6421.33 | 24/02/2026 | Text Book | |
| Not withdrawn | Not Lost | not damaged | SEOCS | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 24/02/2026 | 26 | 4687.57 | 550.285631 PET/M | TB12826 | 6421.33 | 24/02/2026 | Course Reserve |