{
"item_title" : "Engineering and Management of Data Science, Analytics, and Ai/ML Projects",
"item_author" : [" Manuel Mora", "Jorge Marx Gómez", "Fen Wang "],
"item_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.
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Engineering and Management of Data Science, Analytics, and Ai/ML Projects : Foundations, Models, Frameworks, Architectures, Standards, Processes, Pract
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783032068880
- ISBN-10: 3032068886
- Publisher: Springer
- Publish Date: November 2025
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.88 pounds
- Page Count: 139
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