Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach by Kamusoko, Courage

Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach (Hardcover) (ISBN-13: 9781032503806)

Vendor: Courage Kamusoko
Product type: Books
Format: Hardcover
$140.00
$140.00
$140.00
Subtotal: $140.00
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach by Kamusoko, Courage

Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach

$140.00
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach by Kamusoko, Courage

Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach

$140.00
Format: Hardcover
Description
Description
x

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.



Author: Courage Kamusoko
ISBN-10: 1032503807
ISBN-13: 9781032503806
Publisher: CRC Press
Language: English
Published: 12/06/2024
Pages: 266
Format: Hardcover
Weight: 1.25lbs
Size: 9.21h x 6.14w x 0.69d
By Courage Kamusoko
By Courage Kamusoko
x

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.

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