Machine Learning for Archaeological Applications in R
by Denisse L. Argote, Michael C. Thrun, Pedro A. López-García, Manuel A. Torres-GarcíaEstimated delivery 3-12 business days
Format Hardcover
Condition Brand New
Description 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 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.
- ISBN 1009506595
- ISBN-13 9781009506595
- Title Machine Learning for Archaeological Applications in R
- Author Denisse L. Argote, Michael C. Thrun, Pedro A. López-García, Manuel A. Torres-García
- Format Hardcover
- Year 2025
- Pages 96
- Publisher Cambridge University Press
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