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003 | OSt | ||
005 | 20240903093446.0 | ||
008 | 230905t20232023enka b 001 0 eng d | ||
010 | _a 2023279268 | ||
015 |
_aGBC285151 _2bnb |
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016 | 7 |
_a020584938 _2Uk |
|
020 | _a012824271X | ||
020 |
_a9780128242711 _q(pbk) |
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035 | _a(OCoLC)on1286790517 | ||
040 |
_aYDX _beng _erda _cRLKU _dBDX _dUKMGB _dOCLCF _dSISPL _dCTL _dFIE _dDLC |
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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] |
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264 | 4 | _c©2023 | |
300 |
_axii, 648 pages : _billustrations (black and white, and colour) ; _c28 cm |
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336 |
_atext _2rdacontent |
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336 |
_astill image _2rdacontent |
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337 |
_aunmediated _2rdamedia |
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338 |
_avolume _2rdacarrier |
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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. |
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650 | 0 |
_aBusiness _xData processing. _9373 |
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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 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _n0 |
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999 |
_c18226 _d18226 |