{"product_id":"machine-learning-for-archaeological-applications-in-r-9781009506595","title":"Machine Learning for Archaeological Applications in R","description":"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.\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublication date:\u003c\/strong\u003e 16 January 2025\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePage count:\u003c\/strong\u003e 96\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e Height 159 mm; Width 236 mm; Thickness 14 mm\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e Cambridge University Press\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 9781009506595\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Denisse L. Argote","offers":[{"title":"Hardback","offer_id":50207227281658,"sku":"9781009506595","price":55.16,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/9781009506595.jpg?v=1788221164","url":"https:\/\/shulphink.com\/products\/machine-learning-for-archaeological-applications-in-r-9781009506595","provider":"Shulph Ink","version":"1.0","type":"link"}