| 000 | 01496nam a2200397Ia 4500 | ||
|---|---|---|---|
| 005 | 20260803094235.0 | ||
| 008 | 251212s2023 xx 000 0 und d©©© | ||
| 245 | 1 |
_aModern business analytics / _cMatt Taddy ; Leslie Hendrix ; Matthew C. Harding. |
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| 100 | _aTaddy, Matt | ||
| 700 | _aHendrix, Leslie | ||
| 700 | _aHarding, Matthew C. | ||
| 260 |
_aNew York : _bMcGraw Hill, _c©2023. |
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| 250 | _aInternational student edition | ||
| 300 |
_axxii, 442 pages: _bIllustrations, charts |
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| 300 | _c26 cm | ||
| 500 | _aIncludes index | ||
| 020 | _a9781266108334 | ||
| 650 | _aBusiness intelligence | ||
| 650 | _aData processing | ||
| 650 | _aDecision making Statistical methods | ||
| 650 | _aR (Computer program language) | ||
| 944 | _aCIR | ||
| 050 | _a658.4033 H21m 2023 | ||
| 943 |
_b0 _c0 _d0 _e1 _f0 _g0 _h1 _i0 _j0 |
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| 944 |
_b1 _c1 _d0 |
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| 953 | _pHED6427 | ||
| 546 | _ain English | ||
| 953 | _cCollege Library | ||
| 505 | _aChapter 1: Regression Chapter 2: Uncertainty Quantification Chapter 3: Regularization and Selection Chapter 4: Classification Chapter 5: Causal Inference with Experiments Chapter 6: Causal Inference with Controls Chapter 7: Trees and Forests Chapter 8: Factor Models Chapter 9: Text as Data Chapter 10: Deep Learning Appendix: R Primer | ||
| 591 | _a0 | ||
| 336 | _atext | ||
| 337 | _aunmediated | ||
| 338 | _avolume | ||
| 942 |
_2lcc _cBK _ajpascua _b2023-07-26 15:46:37 _ddsolimen _e2024-10-16 16:26:15 |
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| 998 | _a11978 | ||
| 999 |
_c11867 _d11867 |
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