Machine Learning for Archaeological Applications in R - Brossura

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

Brossura

ISBN 10: 1009506641 ISBN 13: 9781009506649

Casa editrice: Cambridge University Press, 2025

Riassunto

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.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1009506641
• ISBN 13: 9781009506649
• Rilegatura: Copertina flessibile
• Numero di pagine: 96
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia