Machine Learning for Archaeological Applications in R - Couverture rigide

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

9781009506595: Machine Learning for Archaeological Applications in R

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ISBN 10 : 1009506595 ISBN 13 : 9781009506595

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: 1009506595
ISBN 13: 9781009506595
Reliure: Reli�
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

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

Edit� par Cambridge University Press, 2025

ISBN 10 : 1009506595 ISBN 13 : 9781009506595

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Machine Learning for Archaeological Applications in R

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

Edit� par Cambridge University Press, 2025

ISBN 10 : 1009506595 ISBN 13 : 9781009506595

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Machine Learning for Archaeological Applications in R (Hardcover)

Denisse L. Argote

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Hardcover. Etat : new. Hardcover. 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. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed explanation of how to process data in R as well as the respective code. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781009506595

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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 (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

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 : 1009506595 ISBN 13 : 9781009506595

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Hardback. 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-9781009506595

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