{"product_id":"machine-learning-for-archaeological-applications-in-r","title":"Machine Learning for Archaeological Applications in R","description":"\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","brand":"Cambridge University Press Bookshop","offers":[{"title":"Default Title","offer_id":56668825452930,"sku":null,"price":18.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0475\/2031\/7597\/files\/9781009506649i.jpg?v=1779634659","url":"https:\/\/www.cambridgebookshop.co.uk\/products\/machine-learning-for-archaeological-applications-in-r","provider":"Cambridge University Press Bookshop","version":"1.0","type":"link"}