| 000 | 02964nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01685-1 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163649.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783031016851 _9978-3-031-01685-1 |
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| 024 | 7 |
_a10.1007/978-3-031-01685-1 _2doi |
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| 050 | 4 | _aT57.6-.97 | |
| 072 | 7 |
_aKJT _2bicssc |
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_a658,403 _223 |
| 100 | 1 |
_aWeiner, Joyce. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979807 |
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| 245 | 1 | 0 |
_aWhy AI/Data Science Projects Fail _h[electronic resource] : _bHow to Avoid Project Pitfalls / _cby Joyce Weiner. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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| 300 |
_aXI, 65 p. _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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| 490 | 1 |
_aSynthesis Lectures on Computation and Analytics, _x2766-8967 |
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| 505 | 0 | _aPreface -- Introduction and Background -- Project Phases and Common Project Pitfalls -- Define Phase -- Making the Business Case: Assigning Value to Your Project -- Acquisition and Exploration of Data Phase -- Model-Building Phase -- Interpret and Communicate Phase -- Deployment Phase -- Summary of the five Methods to Avoid Common Pitfalls -- References -- Author Biography. | |
| 520 | _aRecent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections. | ||
| 650 | 0 |
_aOperations research. _912218 |
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| 650 | 0 |
_aMathematical optimization. _94112 |
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| 650 | 0 |
_aMathematical statistics _xData processing. _918665 |
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| 650 | 1 | 4 |
_aOperations Research and Decision Theory. _931599 |
| 650 | 2 | 4 |
_aOptimization. _979808 |
| 650 | 2 | 4 |
_aStatistics and Computing. _935035 |
| 710 | 2 |
_aSpringerLink (Online service) _979809 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031000515 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031005572 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031028137 |
| 830 | 0 |
_aSynthesis Lectures on Computation and Analytics, _x2766-8967 _979810 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01685-1 |
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| 942 | _cEBK | ||
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