000 | 03250cam a2200625 i 4500 | ||
---|---|---|---|
001 | 9780429431296 | ||
003 | FlBoTFG | ||
005 | 20240213122829.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 200307t20202020flua ob 001 0 eng | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
||
020 |
_a9780429431296 _qelectronic book |
||
020 |
_a0429431295 _qelectronic book |
||
020 |
_a9780429775550 _qelectronic book |
||
020 |
_a0429775555 _qelectronic book |
||
020 |
_z9781138364509 _qhardcover |
||
020 |
_a9780429775543 _q(electronic bk. : EPUB) |
||
020 |
_a0429775547 _q(electronic bk. : EPUB) |
||
020 |
_a9780429775536 _q(electronic bk. : Mobipocket) |
||
020 |
_a0429775539 _q(electronic bk. : Mobipocket) |
||
035 |
_a(OCoLC)1147949169 _z(OCoLC)1197637633 |
||
035 | _a(OCoLC-P)1147949169 | ||
050 | 0 | 4 |
_aQA276.4 _b.P466 2020eb |
072 | 7 |
_aBUS _x061000 _2bisacsh |
|
072 | 7 |
_aCOM _x021030 _2bisacsh |
|
072 | 7 |
_aCOM _x037000 _2bisacsh |
|
072 | 7 |
_aPBT _2bicssc |
|
082 | 0 | 0 |
_a519.50285/632 _223 |
100 | 1 |
_aPereira, Basilio de Bragança, _eauthor. |
|
245 | 1 | 0 |
_aStatistical learning using neural networks : _ba guide for statisticians and data scientists / _cby Basilio de Braganc̨a Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2020. |
|
264 | 4 | _c©2020 | |
300 |
_a1 online resource (xiii, 233 pages) : _billustrations (black and white) |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
505 | 0 | _aFundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks. | |
520 |
_a"This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical topics covered include multivariate statistics (Cluster, Classification, Dimension Reduction, Projection Pursuit, Nonlinear Regression) Survival Analysis (Cox Model and Extensions) Control, Chart and Statistical Inference. Illustrative examples will be mainly from medicine, engineering, and economics"-- _cProvided by publisher. |
||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aStatistics _xData processing. |
|
650 | 0 |
_aMultivariate analysis _xData processing. |
|
650 | 0 | _aNeural networks (Computer science) | |
650 | 0 | _aComputational learning theory. | |
650 | 0 |
_aStatistics _xMethodology. |
|
650 | 0 | _aPython (Computer program language) | |
650 | 7 |
_aBUSINESS & ECONOMICS / Statistics _2bisacsh |
|
650 | 7 |
_aCOMPUTERS / Database Management / Data Mining _2bisacsh |
|
650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh |
|
700 | 1 |
_aRao, C. Radhakrishna _q(Calyampudi Radhakrishna), _d1920- _eauthor. |
|
700 | 1 |
_aBorges de Oliveira, Fabio, _eauthor. |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429431296 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c5577 _d5577 |