Treffer: Machine learning for Earth sciences: using Python to solve geological problems: by Maurizio Petrelli, Switzerland AG, Springer Nature, 2023, xvi+209 pp., 352 figures, 61 table, €79.99 (Hardcover Book), ISBN: 9783031351136.

The main focus of the book is to introduce Earth scientists to the application of machine learning techniques using Python to solve geological problems. It is structured into five parts, covering foundational concepts of machine learning, unsupervised and supervised learning methods, scaling models for large datasets, and an introduction to deep learning. The author emphasizes practical applications, including the analysis of well logs and remote sensing data, while providing guidance on using Python libraries such as Scikit-learn, PyTorch, and TensorFlow. The book aims to equip readers with the skills to implement machine learning in geospatial studies and geological mapping, enhancing their ability to analyze complex geological data effectively. [Extracted from the article]

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