Machine Learning for Earth Sciences: Using Python to Solve Geological Problems

Petrelli, Maurizio

Machine Learning for Earth Sciences: Using Python to Solve Geological Problems
  • 出版商: Springer
  • 出版日期: 2024-09-24
  • 售價: $2,520
  • 貴賓價: 9.5 折 $2,394
  • 語言: 英文
  • 頁數: 209
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031351169
  • ISBN-13: 9783031351167
  • 相關分類: Python、程式語言、Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本教科書向讀者介紹機器學習（Machine Learning, ML）在地球科學中的應用。詳細來說，它首先描述了機器學習的基本概念及其在地球科學中解決地質問題的潛力。書中介紹了專門用於機器學習的主要 Python 工具、地球科學中機器學習應用的典型工作流程，並報告了機器學習演算法的運作方式。書中提供了許多機器學習應用於地球科學問題的範例，涵蓋多個領域，例如在岩石火山學研究中的聚類和降維、多光譜數據的聚類、井測數據的相分類，以及岩石學中的機器學習回歸。此外，書中還介紹了平行計算的基本概念以及如何在雲端擴展機器學習模型。本書適合各級地球科學家，從學生到學術界及專業人士皆可使用。

作者簡介

Maurizio Petrelli is an associate professor in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his Ph.D. in February 2006 at the University of Perugia. His current studies are focused on the petrological, volcanological, and geochemical characterization of magmatic systems with particular emphasis on time-scales estimates of magmatic processes. He combines the use of numerical simulations, experimental petrology, and the study of natural samples. Since 2016, he has developed a new line of research at the Department of Physics and Geology (University of Perugia) focused on the application of Machine Learning techniques to petrological and volcanological studies.


作者簡介(中文翻譯)

Maurizio Petrelli 是佩魯賈大學物理與地質系的岩石學和火山學副教授。他於2001年獲得地質學學位，並於2006年2月在佩魯賈大學獲得博士學位。他目前的研究專注於岩漿系統的岩石學、火山學和地球化學特徵，特別強調岩漿過程的時間尺度估算。他結合了數值模擬、實驗岩石學和自然樣本的研究。自2016年以來，他在佩魯賈大學物理與地質系開展了一條新的研究方向，專注於將機器學習技術應用於岩石學和火山學研究。

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