{"product_id":"9781009506649","title":"Machine Learning for Archaeological Applications in R (Elements in Current Archaeological Tools and Techniques)","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","offers":[{"title":"Default Title","offer_id":45408072138831,"sku":"00000_00000_00000_00000","price":875.0,"currency_code":"TWD","in_stock":true}],"url":"https:\/\/kinokuniya.com.tw\/products\/9781009506649","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}