Error loading page.
Try refreshing the page. If that doesn't work, there may be a network issue, and you can use our self test page to see what's preventing the page from loading.
Learn more about possible network issues or contact support for more help.

Artificial Intelligence

ebook
The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.
Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book. 
Key features:
  • In-depth look at modern computing technologies 
  • Systems engineering description and means to successfully undertake an AI product or service development through deployment
  • Existing methods for applying machine learning operations (MLOps)
  • AI system architecture including a description of each of the AI pipeline building blocks
  • Challenges and approaches to attend to responsible AI in practice    
  • Tools to develop a strategic roadmap and techniques to foster an innovative team environment 
  • Multiple use cases that stem from the authors’ MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs 
  • Exercises and Jupyter notebook examples 

  • Expand title description text
    Series: MIT Lincoln Laboratory Series Publisher: MIT Press

    Kindle Book

    • Release date: June 11, 2024

    OverDrive Read

    • ISBN: 9780262378710
    • Release date: June 11, 2024

    EPUB ebook

    • ISBN: 9780262378710
    • File size: 50326 KB
    • Release date: June 11, 2024

    Formats

    Kindle Book
    OverDrive Read
    EPUB ebook

    Languages

    English

    The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.
    Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book. 
    Key features:
  • In-depth look at modern computing technologies 
  • Systems engineering description and means to successfully undertake an AI product or service development through deployment
  • Existing methods for applying machine learning operations (MLOps)
  • AI system architecture including a description of each of the AI pipeline building blocks
  • Challenges and approaches to attend to responsible AI in practice    
  • Tools to develop a strategic roadmap and techniques to foster an innovative team environment 
  • Multiple use cases that stem from the authors’ MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs 
  • Exercises and Jupyter notebook examples 

  • Expand title description text