Artificial Intelligence
eBook - ePub

Artificial Intelligence

A Systems Approach from Architecture Principles to Deployment

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence

A Systems Approach from Architecture Principles to Deployment

About this book

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.

• 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

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Yes, you can access Artificial Intelligence by David R. Martinez,Bruke M. Kifle, James Ward in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Preface
  7. Acknowledgments
  8. 1. Overview
  9. Part I: AI System Architecture
  10. Part II: Strategic Principles
  11. Part III: Human-Machine Augmentation: Use Cases
  12. Appendix
  13. Abbreviations
  14. Index