Name: Gis and rs: Practical Machine Learning Tools and Techniques (en Inglés)
Price: 465241.00 COP
Availability: InStock
Author: Thomas, Dilan
ISBN: 9781639877454

portada Gis and rs: Practical Machine Learning Tools and Techniques (en Inglés)

Gis and rs: Practical Machine Learning Tools and Techniques (en Inglés)

Formato

Libro Físico

Ilustrado por

Dilan Thomas

Editorial

Murphy & Moore Publishing

Autor

Thomas, Dilan

Idioma

Inglés

N° páginas

252

Encuadernación

Tapa Dura

Dimensiones

27.9 x 21.6 x 1.6 cm

Peso

0.88 kg.

ISBN13

9781639877454

Categorías

Sistemas de información geográfica (sig) y percepción remota

Gis and rs: Practical Machine Learning Tools and Techniques (en Inglés)

Dilan Thomas (Ilustrado por) · Murphy & Moore Publishing · Tapa Dura

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Reseña del libro "Gis and rs: Practical Machine Learning Tools and Techniques (en Inglés)"

Machine learning (ML) refers to an artificial intelligence (AI) technique that teaches computers to learn from experiences. The algorithms of ML utilize computational techniques to learn information directly from data rather than using a preconceived equation as a model. ML is divided into two main categories, which include supervised learning and unsupervised learning. Each of them has diverse uses in geographic information system (GIS) and remote sensing (RS). ML is a key component of spatial analysis in GIS. It is extremely helpful for analyzing data in a variety of domains, including processing of satellite images. ML tools are primarily used in the processing of remote sensing data for interpretation, filtering and prediction. This book unravels the recent studies on machine learning tools and techniques for GIS and RS. As machine learning is emerging at a rapid pace, its contents will help the readers understand the modern concepts and applications of the subject. The book will serve as a valuable source of reference for graduate and postgraduate students.