| 000 | 05130nam a22009855i 4500 | ||
|---|---|---|---|
| 001 | 9783110796063 | ||
| 003 | DE-B1597 | ||
| 005 | 20240730161624.0 | ||
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| 008 | 230529t20222022gw fo d z eng d | ||
| 020 | _a9783110796063 | ||
| 024 | 7 |
_a10.1515/9783110796063 _2doi |
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| 035 | _a(DE-B1597)626130 | ||
| 035 | _a(OCoLC)1350572096 | ||
| 040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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| 041 | 0 | _aeng | |
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_aQA76.9.M35 _bE46 2022 |
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_aCOM021030 _2bisacsh |
|
| 082 | 0 | 4 |
_a004.0151 _223/eng/20221230 |
| 100 | 1 |
_aEmmert-Streib, Frank, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977005 |
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| 245 | 1 | 0 |
_aMathematical Foundations of Data Science Using R / _cFrank Emmert-Streib, Salissou Moutari, Matthias Dehmer. |
| 264 | 1 |
_aMünchen ; _aWien : _bDe Gruyter Oldenbourg, _c[2022] |
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| 264 | 4 | _c©2022 | |
| 300 | _a1 online resource (XVI, 408 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 | _aDe Gruyter STEM | |
| 505 | 0 | 0 |
_tFrontmatter -- _tPreface to the second edition -- _tContents -- _t1 Introduction -- _tPart I: Introduction to R -- _t2 Overview of programming paradigms -- _t3 Setting up and installing the R program -- _t4 Installation of R packages -- _t5 Introduction to programming in R -- _t6 Creating R packages -- _tPart II: Graphics in R -- _t7 Basic plotting functions -- _t8 Advanced plotting functions: ggplot2 -- _t9 Visualization of networks -- _tPart III: Mathematical basics of data science -- _t10 Mathematics as a language for science -- _t11 Computability and complexity -- _t12 Linear algebra -- _t13 Analysis -- _t14 Differential equations -- _t15 Dynamical systems -- _t16 Graph theory and network analysis -- _t17 Probability theory -- _t18 Optimization -- _tBibliography -- _tIndex |
| 506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
|
| 520 | _aThe aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science. | ||
| 530 | _aIssued also in print. | ||
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) | |
| 650 | 0 |
_aComputer science _xMathematics. _93866 |
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| 650 | 4 |
_aComputational Statistics. _977006 |
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| 650 | 4 |
_aData Analytics. _974241 |
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| 650 | 4 |
_aData Science. _934092 |
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| 650 | 4 |
_aR for Genomics. _977007 |
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| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining. _2bisacsh _912290 |
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| 653 | _aComputational Statistics. | ||
| 653 | _aData Analysis. | ||
| 653 | _aData Analytics. | ||
| 653 | _aData Science. | ||
| 700 | 1 |
_aDehmer, Matthias, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977008 |
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| 700 | 1 |
_aMoutari, Salissou, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977009 |
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| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDG Plus DeG Package 2022 Part 1 _z9783110766820 |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE COMPLETE 2022 English _z9783110993899 |
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_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE COMPLETE 2022 _z9783110994810 _oZDB-23-DGG |
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_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE Engineering, Computer Sciences 2022 English _z9783110994223 |
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_iTitle is part of eBook package: _dDe Gruyter _tEBOOK PACKAGE Engineering, Computer Sciences 2022 _z9783110994193 _oZDB-23-DEI |
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_cEPUB _z9783110796179 |
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_cprint _z9783110795882 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1515/9783110796063 |
| 856 | 4 | 0 | _uhttps://www.degruyter.com/isbn/9783110796063 |
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_3Cover _uhttps://www.degruyter.com/document/cover/isbn/9783110796063/original |
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