Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)

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ISBN 10: 1009506641 / ISBN 13: 9781009506649

Editore: - -, 2025

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Codice articolo 6545-9781009506649

Dati bibliografici

• Titolo: Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
• Editore: - -
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1009506641
• ISBN 13: 9781009506649
• Rilegatura: paperback
• Condizione: Very Good

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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.