| 000 | 03999nam a22005295i 4500 | ||
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| 001 | 978-3-658-45392-3 | ||
| 003 | DE-He213 | ||
| 005 | 20251030113051.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240918s2024 gw | s |||| 0|eng d | ||
| 020 |
_a9783658453923 _9978-3-658-45392-3 |
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| 024 | 7 |
_a10.1007/978-3-658-45392-3 _2doi |
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| 050 | 4 | _aHF5548.125-.6 | |
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_aCOM005030 _2bisacsh |
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| 100 | 1 |
_aHeesen, Bernd. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _974713 |
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| 245 | 1 | 0 |
_aArtificial Intelligence and Machine Learning with R _h[electronic resource] : _bApplications in the Field of Business Analytics / _cby Bernd Heesen. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer, _c2024. |
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| 300 |
_aXIII, 493 p. 448 illus., 190 illus. in color. _bonline resource. |
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| 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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| 505 | 0 | _aBenefits of Machine Learning and Artificial Intelligence -- Machine Learning -- Best Practices -- Setting Up the R Development Environment -- Fundamentals of the R Programming Language -- Machine Learning with R -- Application of Machine Learning with R -- Outlook. | |
| 520 | _aThis book teaches you, based on the open-source programming language R, how to read, process, and analyze data from various formats and sources, and how to use Artificial Intelligence and Machine Learning in your company. It specifically explains the three types of Machine Learning and selected, widely-used algorithms that form the basis of Artificial Intelligence. Additionally, the author provides you with the datasets used through his R package "machinelearning," so you can run the code examples presented in the book yourself. The package also includes interactive self-learning tutorials for R. Contents Benefits of Machine Learning and Artificial Intelligence Best Practices Fundamentals of the R Programming Language Fundamentals of Machine Learning with R, including preprocessing, exploratory data analysis, modeling, evaluation, and parameter tuning Application of Machine Learning with R for predictions, classification, clustering, and recommendation systems The Author Bernd Heesen is a professor at the Faculty of Economics at Ansbach University of Applied Sciences in Bavaria. Before his tenure at the university, he worked for more than 10 years as a business consultant both domestically and internationally. He continues to advise companies on the use of IT innovations. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. | ||
| 650 | 0 |
_aBusiness _xData processing. _959544 |
|
| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 0 |
_aStatisticsĀ . _965982 |
|
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 1 | 4 |
_aBusiness Analytics. _966186 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aStatistics in Business, Management, Economics, Finance, Insurance. _969738 |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658453916 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658453930 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-45392-3 |
| 912 | _aZDB-2-BUM | ||
| 912 | _aZDB-2-SXBM | ||
| 999 |
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