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9781009506649 - Machine Learning for Archaeological Applications in R di Denisse L. Argote , Pedro A. López-García , Manuel A. Torres-García , Michael C. Thrun (20 risultati)
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Aggiungi al carrellopaperback. Condizione: Very Good. Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques) 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. .
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condizione: Fine.
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condizione: Very Good.
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
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Aggiungi al carrellopaperback. 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.
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R (Paperback or Softback)
Lingua: Inglese
Editore: Cambridge University Press 1/16/2025, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Paperback or Softback. Condizione: New. Machine Learning for Archaeological Applications in R. Book.
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, GB, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Aggiungi al carrelloPaperback. 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.
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Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, GB, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloPaperback. 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.
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Machine Learning for Archaeological Applications in R (Paperback)
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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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.
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Da: Revaluation Books, Exeter, Regno Unito
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Machine Learning for Archaeological Applications in R (Paperback)
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Aggiungi al carrelloPaperback. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Machine Learning for Archaeological Applications in R (Paperback)
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Aggiungi al carrelloPaperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Machine Learning for Archaeological Applications in R
Lingua: Inglese
Editore: Cambridge University Press, 2024
ISBN 10: 1009506641 ISBN 13: 9781009506649
EUR 31,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning for Archaeological Applications in R | Denisse L. Argote (u. a.) | Taschenbuch | Englisch | 2024 | Cambridge University Press | EAN 9781009506649 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
