Engineering and Management of Data Science, Analytics and Ai/Ml Projects: Foundations, Models, Frameworks, Architectures, Standards, Processes, Practices, Platforms and Tools for Small and Big Data - Couverture rigide

Couverture rigide

ISBN 10 : 3032068886 ISBN 13 : 9783032068880

Editeur : Springer Nature Switzerland AG, 2025

Synopsis

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.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 3032068886
• ISBN 13: 9783032068880
• Reliure: Relié
• Nombre de pages: 154
• Éditeur: Mora Manuel, Gómez Jorge Marx, Wang Fen, Duran-Limon Hector A.
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne