{"product_id":"machine-learning-for-archaeological-applications-in-r-hardcover-3","title":"Machine Learning for Archaeological Applications in R - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDenisse L. Argote\u003c\/b\u003e (Author), \u003cb\u003ePedro A. López--García\u003c\/b\u003e (Author), \u003cb\u003eManuel A. Torres--García\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 96\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.25 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 16, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47386541555961,"sku":"9781009506595","price":131.67,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/EdQQITWMxx9781009506595_02d0a0cc-b6cc-4419-981f-84c34d87fa5f.webp?v=1770189468","url":"https:\/\/bookscloud.io\/products\/machine-learning-for-archaeological-applications-in-r-hardcover-3","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}