| 000 | 02911cam a22004937i 4500 | ||
|---|---|---|---|
| 001 | 24024077 | ||
| 005 | 20260101105446.0 | ||
| 008 | 250210t20242024caua 001 0 eng d | ||
| 010 | _a 2025417257 | ||
| 020 |
_a9781098112752 _q(paperback) |
||
| 035 | _a(OCoLC)1407503804 | ||
| 040 |
_aYDX _beng _erda _cYDX _dOCLCO _dBDX _dIG$ _dOCLCO _dSISPL _dJRZ _dDEBBG _dOCLCO _dYDX _dUAE _dDLC _dAU |
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| 042 | _alccopycat | ||
| 049 | _aAlfaisal Main Library | ||
| 050 | 0 | 0 |
_aHF5548.4.M5258 _bS75 2024 |
| 100 | 1 |
_aStirrup, Jennifer, _eauthor. |
|
| 245 | 1 | 0 |
_aArtificial intelligence with Microsoft Power BI : _bsimpler AI for the enterprise / _cJennifer Stirrup & Thomas J. Weinandy. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aSebastopol, CA : _bO'Reilly Media, _c©2024 |
|
| 264 | 4 | _c©2024 | |
| 300 |
_a454 pages _billustrations _c24 cm |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 500 | _aIncludes index. | ||
| 505 | 0 | _aGetting started with AI in the enterprise: your data -- A great foundation: AI and data modeling -- Blueprint for AI in the enterprise -- Automating data exploration and editing -- Working with time series data -- Cluster analysis and segmentation -- Diving deeper: using Azure AI services -- Text analytics -- Image tagging -- Custom machine learning models -- Data science languages: Python and R in Power BI -- Making your AI production-ready with Power BI -- The AI feedback loop. | |
| 520 | _aAdvance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented data analysts and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jennifer Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. | ||
| 630 | 0 | 0 | _aMicrosoft Power BI (Computer file) |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 6 | _aIntelligence artificielle. | |
| 650 | 7 |
_aartificial intelligence. _2aat |
|
| 650 | 7 |
_aKünstliche Intelligenz _2gnd |
|
| 650 | 7 |
_aPower BI _2gnd |
|
| 650 | 7 |
_aUnternehmen _2gnd |
|
| 650 | 7 |
_aBusiness Intelligence _2gnd |
|
| 650 | 7 |
_aMicrosoft _2gnd |
|
| 653 | 0 | _aArtificial intelligence | |
| 653 | 0 | _aIntelligence artificielle | |
| 653 | 0 | _aartificial intelligence | |
| 653 | _aMicrosoft Power BI (Computer file) | ||
| 655 | 0 |
_aPrint books. _2local _94 |
|
| 700 | 1 |
_aWeinandy, Thomas J., _eauthor. |
|
| 942 |
_2lcc _cBOOKS |
||
| 999 |
_c608254 _d608254 |
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