Machine Learning for Archaeological Applications in R
Author:   Denisse L. Argote (Instituto Nacional de Antropología e Historia) ,  Pedro A. López-­García (Escuela Nacional de Antropología e Historia) ,  Manuel A. Torres-­García (Instituto Nacional de Antropología e Historia) ,  Michael C. Thrun (Philipps-Universität Marburg, Germany)
Publisher:   Cambridge University Press
ISBN:  

9781009506649


Pages:   75
Publication Date:   31 December 2024
Format:   Paperback
Availability:   Not yet available, will be POD   Availability explained
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Machine Learning for Archaeological Applications in R


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Overview

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.

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Author:   Denisse L. Argote (Instituto Nacional de Antropología e Historia) ,  Pedro A. López-­García (Escuela Nacional de Antropología e Historia) ,  Manuel A. Torres-­García (Instituto Nacional de Antropología e Historia) ,  Michael C. Thrun (Philipps-Universität Marburg, Germany)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
ISBN:  

9781009506649


ISBN 10:   1009506641
Pages:   75
Publication Date:   31 December 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available, will be POD   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. This is a print on demand item which is still yet to be released.

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