Items related to Machine Learning for Archaeological Applications in...

Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques) - Hardcover

Argote, Denisse L.; López-García, Pedro A.; Torres-García, Manuel A.; Thrun, Michael C.

 
9781009506595: Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)
Hardcover
ISBN 10: 1009506595 ISBN 13: 9781009506595
Publisher: Cambridge University Press, 2025

Synopsis

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.

"synopsis" may belong to another edition of this title.

Publisher
Cambridge University Press
Publication date
2025
Language
English
ISBN 10 
1009506595
ISBN 13 
9781009506595
Binding
Hardcover
Number of pages
96