Description

Book Synopsis

1.A Review of Main Non-Proprietary Domain- Independent Data Science Analytics AI/ML Reference Architectures – a dual  ISO/IEC/IEEE 42010 and IT Service Design Approach.- 2.Data Visualization in the Era of Data Science: a review.- 3.Requirements for using Federated Learning in Manufacturing Supply Chains.- 4.Large Multimodal Model-Based Simulation Game as a Socio-Technical System for Value Stream Analysis and Design.- 5.A Data-driven Clustering Approach for Assessing Service Performance of Brand Chains' Branches in the Food Service Industry Data Analytics Systems.- 6.Integrating Quality Management 4.0 with AI and Machine Learning.

Engineering and Management of Data Science Analytics and AIML Projects

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    A Hardback by Manuel Mora

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      View other formats and editions of Engineering and Management of Data Science Analytics and AIML Projects by Manuel Mora

      Publisher: Springer
      Publication Date: 09/02/2026
      ISBN13: 9783032068880, 978-3032068880
      ISBN10:
      Also in:
      Computing Databases / Data management

      Description

      Book Synopsis

      1.A Review of Main Non-Proprietary Domain- Independent Data Science Analytics AI/ML Reference Architectures – a dual  ISO/IEC/IEEE 42010 and IT Service Design Approach.- 2.Data Visualization in the Era of Data Science: a review.- 3.Requirements for using Federated Learning in Manufacturing Supply Chains.- 4.Large Multimodal Model-Based Simulation Game as a Socio-Technical System for Value Stream Analysis and Design.- 5.A Data-driven Clustering Approach for Assessing Service Performance of Brand Chains' Branches in the Food Service Industry Data Analytics Systems.- 6.Integrating Quality Management 4.0 with AI and Machine Learning.

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