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Engineering and Management of Data Science, Analytics, and AI/ML Projects

By Manuel Mora

Engineering and Management of Data Science, Analytics, and AI/ML Projects

By Manuel Mora

0 - Default Title
Description
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.
Product details
Number of Pages:
156
Release Date:
2025-11-16
Publication Date:
2025-11-16
Publisher:
Springer
Languages:
Original: English
ISBN10:
3032068886
ISBN13:
9783032068880
GPSR Manufacturer Reference:
[email protected]
Weight:
405 g
Height:
160 cm
Width:
241 cm
Thickness:
15 cm
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