| 000 | 01399nam a2200253 4500 | ||
|---|---|---|---|
| 005 | 20260522114304.0 | ||
| 008 | 260522b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9783658453916 | ||
| 082 | _a650.0285 HEE | ||
| 100 | _aHeesen, Bernd | ||
| 245 |
_aArtificial Intelligence and Machine Learning with R: _bapplications in the field of business analytics |
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| 260 |
_aGermany: _bSpringer Nature; _cc2024. |
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| 300 | _aviii, 493p. | ||
| 500 | _aIncludes bibliographical references. | ||
| 520 |
_aWhere classical statistics were once used for calculations and predictions, today free (open source) tools like R allow data in various formats and from any number of sources to be read in, processed, and analyzed using methods of Artificial Intelligence and Machine Learning. The results can then be perfectly visualized so that decision-makers can benefit quickly and effectively. The age of Data Science has arrived. Digitalization is more than a buzzword or a promise; it is actionable and usable for everyone. _bThis book teaches you, based on the latest version of R at the time of publication, how to use Artificial Intelligence and Machine Learning in Industry 4.0. |
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| 650 | _aStatistics | ||
| 650 | _aBusiness | ||
| 650 |
_aR Environment _xData Science |
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| 650 | _aModeling | ||
| 650 | _aPredictions | ||
| 650 | _aArtificial Intelligence | ||
| 650 | _aAI | ||
| 942 |
_2ddc _n0 _cC |
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| 999 |
_c30894 _d30894 |
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