Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2025
Genre:	Naturwissensch., Medizin, Technik
	Analytics and AI/ML challenges, achievements and trends / Analytics and AI/ML projects with small and big data / Architectures / Big Data / Computational Intelligence / Control, Robotics, Automation / Data Engineering / Data Science / Data Science development methodologies / Data Science models / Data Science platforms and tools / Frameworks and Standards / Künstliche Intelligenz / Regelungstechnik mehr...
ISBN:	9783032068880
EAN-Code:	9783032068880
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	139
Illustration:	XV, 139 p. 24 illus., 15 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.