000 | 03315nam a22006255i 4500 | ||
---|---|---|---|
999 |
_c200458510 _d76722 |
||
003 | TR-AnTOB | ||
005 | 20231114152312.0 | ||
007 | cr nn 008mamaa | ||
008 | 220509s2022 sz | s |||| 0|eng d | ||
020 | _a9783030938239 | ||
024 | 7 |
_a10.1007/978-3-030-93823-9 _2doi |
|
040 |
_aTR-AnTOB _beng _erda _cTR-AnTOB |
||
041 | _aeng | ||
050 | 4 | _aHF5548.2 | |
072 | 7 |
_aPBT _2bicssc |
|
072 | 7 |
_aK _2bicssc |
|
072 | 7 |
_aBUS061000 _2bisacsh |
|
072 | 7 |
_aPBT _2thema |
|
072 | 7 |
_aK _2thema |
|
090 | _aHF5548.2EBK | ||
245 | 1 | 0 |
_aBusiness Analytics for Professionals _h[electronic resource] / _cedited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Series in Advanced Manufacturing, _x2196-1735 |
|
505 | 0 | _aPART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics. | |
520 | _aThis book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python. | ||
650 | 0 | _aStatisticsĀ . | |
650 | 0 | _aBusiness logistics. | |
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aProduction management. | |
650 | 1 | 4 | _aStatistics in Business, Management, Economics, Finance, Insurance. |
650 | 2 | 4 | _aLogistics. |
650 | 2 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aProduction . |
653 | 0 | _aBusiness -- Data processing | |
653 | 0 | _aBig data | |
653 | 0 | _aBusiness logistics | |
700 | 1 |
_aUstundag, Alp. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aCevikcan, Emre. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aBeyca, Omer Faruk. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
830 | 0 |
_aSpringer Series in Advanced Manufacturing, _x2196-1735 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-030-93823-9 _3Springer eBooks _zOnline access link to the resource |
942 |
_2lcc _cEBK |