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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques) - Tapa dura

Argote, Denisse L.; Torres-García, Manuel A.; López-García, Pedro A.

 
9781009506595: Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Tapa dura
ISBN 10: 1009506595 ISBN 13: 9781009506595
Editorial: Cambridge University Press, 2024

Sinopsis

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.

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Editorial
Cambridge University Press
Año de publicación
2024
Idioma
Inglés
ISBN 10 
1009506595
ISBN 13 
9781009506595
Encuadernación
Tapa dura
Número de páginas
98
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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Otras ediciones populares con el mismo título

9781009506649: Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)

Edición Destacada

ISBN 10:  1009506641 ISBN 13:  9781009506649
Editorial: Cambridge University Press, 2024
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