Explainable Machine Learning for Geospatial Data Analysis : A Data-Centric Approach
Book Details
Format
Hardback or Cased Book
ISBN-10
1032503807
ISBN-13
9781032503806
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 6th, 2024
Print length
266 Pages
Weight
453 grams
Product Classification:
Earth sciencesHuman geographyGeographical information systems (GIS) & remote sensingGeographical information systems, geodata and remote sensingElectrical engineeringAutomatic control engineeringEnvironmental monitoringDatabasesDatabases / Data managementArtificial intelligenceArtificial intelligence (AI)Machine learningImage processing
Ksh 22,500.00
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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.
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.
Get Explainable Machine Learning for Geospatial Data Analysis by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
