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Titlebook: Big Data Analytics; Theory, Techniques, Ümit Demirbaga,Gagangeet Singh Aujla,Oğuzhan Kalyo Book 2024 The Editor(s) (if applicable) and The

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Book 2024, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data ap
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Book 2024purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data.
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rk: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data.978-3-031-56698-1978-3-031-55639-5
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Debugging Big Data Systems for Big Data Analytics,ystems, including Mantri, Texas Advanced Computing Centre (TACC) Stats, Data Centre Data Base (DCDB) Wintermute, and AutoDiagn, empowering practitioners to effectively diagnose and address complex issues in their analytics infrastructure.
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Drug Therapy in Lennox-Gastaut Syndromeystems, including Mantri, Texas Advanced Computing Centre (TACC) Stats, Data Centre Data Base (DCDB) Wintermute, and AutoDiagn, empowering practitioners to effectively diagnose and address complex issues in their analytics infrastructure.
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