Beschreibung
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 readersacademics, researchers and practitioners interested in the systematic development and implementation of DSA-AI/ML systemscan be benefited with the high-quality conceptual and empirical research chapters focused on: Foundations, Development Platforms, and Tools on Engineering and Management of DSAAI/ML Projects: DSAAI/ML reference architectures. Data visualization principles for DSAAI/ML. Federated Learning in largescale DSAAI/ML systems. Achievements, Challenges, Trends, and Future Research Directions on DSAAI/ML Projects: Large multimodal modelbased simulation game for DSAAI/ML systems. Value stream analysis and design applied to DSAAI/ML systems. Quality management 4.0 and AI for DSAAI/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.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
