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The handbook of data science and AI/ by Papp, Stefan ...[ et al ]

Contributor(s): Material type: TextPublication details: Germany: Hanser, c2026.Edition: 3rd edDescription: xxviii,976p.: ill.; 37cmISBN:
  • 9781569905159
LOC classification:
  • QA76.9.A43  .H36 2026
Contents:
Introduction-- 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.
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Includes Index.

Introduction-- 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.

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