000			01771cam a22002177i 4500
020			_a012824271X
020			_a9780128242711
082	0	4	_a658.05631 _223
100	1		_aFávero, Luiz Paulo
245	1	0	_aData science, analytics and machine learning with R / _cLuiz Paulo Fávero, Patrícia Belfiore [and] Rafael de Freitas Souza.
260			_aLondon : _bAcademic Press, _cc.2023
300			_axii, 648p. ; _bill. :
504			_aIncludes bibliographic references (p. 639-640) and index.
520			_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. --
650		0	_aBusiness
650		0	_aMachine learning.
650		0	_aR (Computer program language)
700	1		_aBelfiore, Patrícia Prado
700	1		_aDe Freitas Souza, Rafael
942			_2ddc _cREF
999			_c749901 _d749901