01719cam a22001937i 4500020001500000020001800015082001800033100002500051245013200076260003900208300002500247504006200272520106200334650001301396650002201409650003401431700003101465700002901496  a012824271X  a978012824271104a658.056312231 aFávero, Luiz Paulo10aData science, analytics and machine learning with R  /cLuiz Paulo Fávero, Patrícia Belfiore [and] Rafael de Freitas Souza.  aLondon :bAcademic Press, cc.2023  axii, 648p. ;bill. :  aIncludes bibliographic references (p. 639-640) and index.  aData Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. -- 0aBusiness 0aMachine learning. 0aR (Computer program language)1 aBelfiore, Patrícia Prado1 aDe Freitas Souza, Rafael