01640cam a2200229 i 4500 TB12827 IN-BhIIT 20260313154421.0 170518s2017 flua 000 0 eng 9783031351167 (pbk.) IN-BhIIT eng 550.285631 PET/M Petrelli, Maurizio Author 27443 Machine learning for earth sciences : using python to solve geological problems / Maurizio Petrelli. Switzerland : Springer Nature, 2023. xvi, 209 p. : illustrations, maps (some color) ; 27 cm. 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. Earth sciences Computer network resources. 27444 Earth sciences Data processing. 9132 TB 1 15410 15410 0 0 ddc 0 0 SEOCS CLIITBBS CLIITBBS 2026-02-24 26 4687.57 1 550.285631 PET/M TB12827 2026-09-19 2026-03-13 15:44:21 2026-03-13 6421.33 2026-02-24 TB 0 0 ddc 0 0 SEOCS CLIITBBS CLIITBBS 2026-02-24 26 4687.57 0 550.285631 PET/M TB12826 2026-02-24 00:00:00 6421.33 2026-02-24 RES