Engineering and Management of Data Science, Analytics, and AI/ML Projects, Gebunden
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
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Manuel Mora, Jorge Marx Gómez, Fen Wang, Hector A. Duran-Limon
- Verlag:
- Springer, 11/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783032068880
- Artikelnummer:
- 12421056
- Umfang:
- 156 Seiten
- Gewicht:
- 405 g
- Maße:
- 241 x 160 mm
- Stärke:
- 15 mm
- Erscheinungstermin:
- 16.11.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
