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Explainable Machine Learning For Geospatial Data Analysis 1st Edition Courage Kamusoko

  • SKU: BELL-164699256
Explainable Machine Learning For Geospatial Data Analysis 1st Edition Courage Kamusoko
$ 31.00 $ 45.00 (-31%)

5.0

38 reviews

Explainable Machine Learning For Geospatial Data Analysis 1st Edition Courage Kamusoko instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 11.78 MB
Author: Courage Kamusoko
ISBN: 9781040252512, 9781040252468, 9781003398257, 1040252516, 104025246X, 1003398251, B0DB2NQTJH
Language: English
Year: 2024
Edition: 1

Product desciption

Explainable Machine Learning For Geospatial Data Analysis 1st Edition Courage Kamusoko by Courage Kamusoko 9781040252512, 9781040252468, 9781003398257, 1040252516, 104025246X, 1003398251, B0DB2NQTJH instant download after payment.

Explainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans. 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 to obtain new insights from geospatial data. It presents the opportunities, challenges, and gaps in the machine and deep learning approaches for geospatial data analysis and how they are applied to solve various environmental problems in land cover changes and in modeling forest canopy height and aboveground biomass density. The author also includes guidelines and code scripts (R, Python) valuable for practical readers.

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