Data & IT
Machine Learning for Archaeological Applications in R
Denisse L Argote • Pedro A López-García • Manuel A Torres-García • Michael C Thrun
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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.
- Format: Trade paperback
- ISBN: 9781009506649
- Språk: Engelska
- Utgivningsdatum: 2025-01-16
- Förlag: Cambridge University Press