| 000 | 01301nam a22002057a 4500 | ||
|---|---|---|---|
| 003 | KeNaZET | ||
| 005 | 20260716101625.0 | ||
| 008 | 260716b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781569905159 | ||
| 040 | _cKeNaZET | ||
| 050 |
_aQA76.9.A43 _b.H36 2026 |
||
| 245 |
_aThe handbook of data science and AI/ _cby Papp, Stefan ...[ et al ] |
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| 250 | _a3rd ed. | ||
| 260 |
_aGermany: _bHanser, _cc2026. |
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| 300 |
_axxviii,976p.: _bill.; _c37cm |
||
| 500 | _aIncludes Index. | ||
| 505 | _aIntroduction-- The alpha and omega of AI --Cloud services -- Data architecture -- Data engineering -- Data governance -- Machine learning operations(ML Ops) --Machine learning security -- Mathematics -- Statistics-basics -- Business inntelligence(BI) -- Machine learning --Building great AI --Signal processing --Generative AI and large language models -- AI agents -- Vibe coding --Natural language processing(NLP) -- Computer vision -- Modelling and simulation-create your own models -- Data visualization --Data driven enterprises -- Creating high-perfominf teams -- AI act --AI in different industries -- Climate change -- Mindset and community -- Trustworthy Ai -- Epilogue. | ||
| 700 |
_aPapp, Stean _928937 |
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| 942 |
_2lcc _cBK _hQA76.9.A43 _i.H36 2026 _kQA76.9.A43 _m.H36 2026 |
||
| 999 |
_c10101 _d10101 |
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