Explainable Machine Learning for Geospatial Data Analysis A Data Centric Approach
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Explainable Machine Learning for Geospatial Data Analysis A Data Centric Approach
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and how they are applied to solve various environmental problems from forestry to climate change.
- 品牌: Taylor & Francis Ltd
- 类别: 科学、 医学与自然
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语言: English
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作者: Explainable Machine Learning for Geospatial Data Analysis: A Data Centric Approach
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出版日期: 2026-06-23
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页数: 266
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出版社／标签: Taylor & Francis Ltd
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格式: Paperback
- Fruugo ID: 536788681-1086642762
- ISBN: 9781032503813
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