Machine Learning for Archaeological Applications in R - (Paperback or Softback)

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.

• | Author: Denisse L. Argote
• | Publisher: Cambridge University Press
• | Publication Date: Jan 16, 2025
• | Number of Pages: 00096 pages
• | Binding: Paperback or Softback
• | ISBN-10: 1009506641
• | ISBN-13: 9781009506649