GIS and RS: Practical Machine Learning Tools and Techniques (Record no. 1308329)

MARC details
000 -LEADER
fixed length control field 01882nam a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250401133023.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250401b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781639877454
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Classification number U:(D6,9(B) R3
Assigning agency RTL
245 ## - TITLE STATEMENT
Title GIS and RS: Practical Machine Learning Tools and Techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Murphy & Moore Publishing
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent 244p.
Other physical details Includes list of contributors and index
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geographic information systems
9 (RLIN) 751517
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Remote sensing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geographic information systems - equipments and supplies
9 (RLIN) 751672
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Thomas, Dilan
Relator term Editor
9 (RLIN) 751673
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textbook
Classification part U:(D6,9(B) R3
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-04-01   U:(D6,9(B) R3 RT1528364 2025-04-01 2025-04-01 Textbook