Engineering and Management of Data Science, Analytics, and AI/ML Projects: Foundations, Models, Frameworks, Architectures, Standards, Processes, ... (Intelligent Systems Reference Library, 282) - Hardcover

 
9783032068880: Engineering and Management of Data Science, Analytics, and AI/ML Projects: Foundations, Models, Frameworks, Architectures, Standards, Processes, ... (Intelligent Systems Reference Library, 282)
Hardcover
ISBN 10: 3032068886 ISBN 13: 9783032068880
Verlag: Springer-Verlag GmbH, 2025

Inhaltsangabe

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers―academics, researchers and practitioners interested in the systematic development and implementation of DSA-AI/ML systems―can be benefited with the high-quality conceptual and empirical research chapters focused on:

  • Foundations,  Development  Platforms, and Tools on Engineering and Management of DSA-AI/ML Projects:
    • DSA-AI/ML reference architectures.
    • Data visualization principles for DSA-AI/ML.
    • Federated Learning in large-scale DSA-AI/ML systems.
  • Achievements, Challenges, Trends, and Future Research Directions on DSA-AI/ML Projects:
    • Large multimodal model-based simulation game for DSA-AI/ML systems.
    • Value stream analysis and design applied to DSA-AI/ML systems.
    • Quality management 4.0 and AI for DSA-AI/ML systems.

Hence, this research-oriented co-edited book contributes to achieve the systematic development and implementation of Data Science, Analytics, and AI/ML systems.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers--academics, researchers and practitioners interested in the systematic development and implementation of DSA-AI/ML systems--can be benefited with the high-quality conceptual and empirical research chapters focused on:

  • Foundations, Development Platforms, and Tools on Engineering and Management of DSA-AI/ML Projects:
    • DSA-AI/ML reference architectures.
    • Data visualization principles for DSA-AI/ML.
    • Federated Learning in large-scale DSA-AI/ML systems.
  • Achievements, Challenges, Trends, and Future Research Directions on DSA-AI/ML Projects:
    • Large multimodal model-based simulation game for DSA-AI/ML systems.
    • Value stream analysis and design applied to DSA-AI/ML systems.
    • Quality management 4.0 and AI for DSA-AI/ML systems.

Hence, this research-oriented co-edited book contributes to achieve the systematic development and implementation of Data Science, Analytics, and AI/ML systems.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer-Verlag GmbH
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
3032068886
ISBN 13 
9783032068880
Einband
Tapa dura
Anzahl der Seiten
156
Herausgeber
Mora Manuel, Gómez Jorge Marx, Wang Fen, Duran-Limon Hector A.
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland