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Machine Learning for Archaeological Applications in R

Machine Learning for Archaeological Applications in R

Hardcover

Series: Elements in Current Archaeological Tools and Techniques

Archaeology

ISBN10: 1009506595
ISBN13: 9781009506595
Publisher: Cambridge University Press
Published: Jan 16 2025
Pages: 96
Weight: 0.67
Height: 0.25 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Argote, Denisse L.

Also in

Archaeology