Machine Learning for Archaeological Applications in R (Paperback) (ISBN-13: 9781009506649)

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, Pedro A. López--García, Manuel A. Torres--García
ISBN-10: 1009506641
ISBN-13: 9781009506649
Publisher: Cambridge University Press
Language: English
Published: 01/16/2025
Pages: 96
Format: Paperback
Weight: 0.31lbs
Size: 9.00h x 6.00w x 0.20d