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Machine Learning for Archaeological Applications in R
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Machine Learning for Archaeological Applications in R

Book Details

Format Hardback
ISBN-10 1009506595
ISBN-13 9781009506595
Publisher Cambridge University Press
Imprint Cambridge University Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 16th, 2025
Print length 96 Pages
Weight 296 grams
Dimensions 15.90 x 23.60 x 1.40 cms
Product Classification: Archaeology
KSh 10,100.00
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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. It also provides a detailed explanation of how to process data in R as well as the respective code.
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.

Get Machine Learning for Archaeological Applications in R by Denisse L. Argote, Manuel A. Torres-­Garcia at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has 96 pages.

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