Machine Learning for Archaeological Applications in R - Couverture souple

Argote, Denisse L.; L�pez-Garc�a, Pedro A.; Torres-Garc�a, Manuel A.; Thrun, Michael C.

9781009506649: Machine Learning for Archaeological Applications in R

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ISBN 10 : 1009506641 ISBN 13 : 9781009506649

Editeur : Cambridge University Press, 2025

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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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�diteur: Cambridge University Press
Date d'�dition: 2025
Langue: anglais
ISBN 10: 1009506641
ISBN 13: 9781009506649
Reliure: Broch�
Nombre de pages: 96
Coordonn�es du fabricant: Cambridge University Press
https://www.cambridge.org/

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

Denisse L. Argote , Pedro A. L� pez-�Garc�a , Manuel A. Torres-�Garc�a , Michael C. Thrun Pedro A. L� pez-�Garc�a Denisse L. Argote ,

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

Argote, Denisse L.,L� pez-�Garc�a, Pedro A.,Torres-�Garc�a, Manuel A.,Thrun, Michael C.

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

Argote, Denisse L.; L�pez-Garc�a, Pedro A.; Torres-Garc�a, Manuel A.; Thrun, Michael C.

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MACHINE LEARNING FOR ARCHAEOLOGICAL APPL

ARGOTE, DENISSE L.

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Machine Learning for Archaeological Applications in R

Denisse L. Argote

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Machine Learning for Archaeological Applications in R

Denisse L. Argote, Pedro A. L�pez-�Garc�a, Manuel A. Torres-�Garc�a, Michael C. Thrun

Edit� par Cambridge University Press, GB, 2025

ISBN 10 : 1009506641 ISBN 13 : 9781009506649

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Paperback. Etat : New. 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. N� de r�f. du vendeur LU-9781009506649

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