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010 _a 2023279268
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_2bnb
016 7 _a020584938
_2Uk
020 _a012824271X
020 _a9780128242711
_q(pbk)
035 _a(OCoLC)on1286790517
040 _aYDX
_beng
_erda
_cRLKU
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042 _alccopycat
050 0 0 _aHF1008
_b.F38 2023
082 0 4 _a005
_223
100 1 _aFávero, Luiz Paulo,
_eauthor.
_9908
245 1 0 _aData science, analytics and machine learning with R /
_cLuiz Paulo Fávero, Patrícia Belfiore, Rafael de Freitas Souza.
250 _aFisrt edition.
264 1 _aLondon :
_bAcademic Press, an imprint of Elsevier,
_c[2023]
264 4 _c©2023
300 _axii, 648 pages :
_billustrations (black and white, and colour) ;
_c28 cm
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes bibliographic references (pages 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. --
_cProvided by publisher.
650 0 _aBusiness
_xData processing.
_9373
650 0 _aMachine learning.
_9521
650 0 _aR (Computer program language)
_9515
700 1 _aBelfiore, Patrícia Prado,
_eauthor.
_9909
700 1 _aDe Freitas Souza, Rafael,
_eauthor
_9910
906 _a7
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_ccopycat
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