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{ "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. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/206/888/3032068886_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Engineering and Management of Data Science, Analytics, and Ai/ML Projects|Manuel Mora

Engineering and Management of Data Science, Analytics, and Ai/ML Projects : Foundations, Models, Frameworks, Architectures, Standards, Processes, Pract

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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

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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