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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 Applications in R (Elements in Current Archaeological Tools and Techniques)
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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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paperback. Condizione: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Codice articolo 6545-9781009506649
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Machine Learning for Archaeological Applications in R
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Machine Learning for Archaeological Applications in R
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Paperback. Condizione: new. Paperback. 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. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed explanation of how to process data in R as well as the respective code. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781009506649
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Machine Learning for Archaeological Applications in R
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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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