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

By: null Denisse L. Argote and null Pedro A. López-García and null Manuel A. Torres-García and null Michael C. Thrun

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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.

Book Quality:: Publisher Quality
ISBN-13:: 9781009506601
Related ISBNs:: 9781009506595, 9781009506595
Publisher:: Cambridge University Press
Date of Addition:: 01/07/25
Copyrighted By:: Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García, and Michael C. Thrun
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Social Studies
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.