Titre: Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
�diteur: Cambridge University Press
Date de parution: 2025
Langue: anglais
ISBN � 10 chiffres: 1009506595
ISBN � 13 chiffres: 9781009506595
Reliure: Couverture rigide
�tat de l'article: New

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.

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