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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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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
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Cambridge University Press, 2025
ISBN 10: 1009506641
ISBN 13: 9781009506649
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MACHINE LEARNING FOR ARCHAEOLOGICAL APPL
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Machine Learning for Archaeological Applications in R
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Paperback. Condizione: New. 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. Codice articolo LU-9781009506649
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Machine Learning for Archaeological Applications in R
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ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R
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Cambridge University Press, 2025
ISBN 10: 1009506641
ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
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Machine Learning for Archaeological Applications in R
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Cambridge University Press, GB, 2025
ISBN 10: 1009506641
ISBN 13: 9781009506649
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Paperback. Condizione: New. 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. Codice articolo LU-9781009506649
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
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Machine Learning for Archaeological Applications in R
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