Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
Author:Courage Kamusoko (Author)
Publisher finelybook 出版社:CRC Press
Edition 版本:1st edition
Publication Date 出版日期:2024-12-6
Language 语言:English
Print Length 页数:266pages
ISBN-10:1032503807
ISBN-13:9781032503806
Book Description
About the Author
Courage Kamusoko is an independent geospatial consultant based in Japan. His expertise includes land-use/cover change modeling and the design and implementation of geospatial database management systems. His primary research involves analyses of remotely sensed images, land-use/cover modeling, modeling aboveground biomass, machine learning, and deep learning. In addition to his focus on geospatial research and consultancy, he has dedicated time to teaching practical machine learning for geospatial data analysis and modeling.
下载地址
PDF, EPUB | 44 MB | 2024-11-21
未经允许不得转载:finelybook » Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
相关推荐
Java Generics and Collections: Fundamentals and Recommended Practices, 2nd Edition
Interview Speak: What your interviewer really wants to know
Green Computing for Sustainable Development
Generative Artificial Intelligence and Language Teaching
Flutter Solutions for Web Development: Modern web development with Flutter, Dart, and AI integration
Data Recovery Techniques for Computer Forensics