000			01640cam a2200229 i 4500
001			TB12827
003			IN-BhIIT
005			20260313154421.0
008			170518s2017 flua 000 0 eng
020			_a9783031351167 (pbk.)
040			_aIN-BhIIT
041			_aeng
082	0	0	_a550.285631 _bPET/M
100			_aPetrelli, Maurizio _eAuthor _927443
245	0	0	_aMachine learning for earth sciences : _busing python to solve geological problems / _cMaurizio Petrelli.
260			_aSwitzerland : _bSpringer Nature, _c2023.
300			_axvi, 209 p. : _billustrations, maps (some color) ; _c27 cm.
520			_aThis 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	_aEarth sciences _xComputer network resources. _927444
650		0	_aEarth sciences _xData processing. _99132
942			_cTB _01
999			_c15410 _d15410