Machine Learning for Archaeological Applications in R

Denisse L. Argote, Pedro A. López-­García, Manuel A. Torres-­García, Michael C. Thrun

ISBN 10: 1009506641 / ISBN 13: 9781009506649

Edité par Cambridge University Press, GB, 2025

A propos de cet article

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 réf. du vendeur LU-9781009506649

Détails bibliographiques

• Titre: Machine Learning for Archaeological Applications in R
• Éditeur: Cambridge University Press, GB
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1009506641
• ISBN à 13 chiffres: 9781009506649
• Reliure: Paperback
• État de l'article: New
• Poids: 155 grammes

A propos de ce titre

Synopsis

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.