Machine Learning
eBook - ePub

Machine Learning

Architecture in the age of Artificial Intelligence

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

Machine Learning

Architecture in the age of Artificial Intelligence

About this book

'The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.' - Phil Bernstein

The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind.

Architecture's best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business.

Features chapters on:

  • Professionalism
  • Tools and technologies
  • Laws, policy and risk
  • Delivery, means and methods
  • Creating, consuming and curating data
  • Value propositions and business models.

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Information

Year
2025
eBook ISBN
9781040811221

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Acknowledgments
  5. Foreword
  6. Introduction to the First Edition
  7. Introduction
  8. Contents
  9. 01 Proces
  10. 02 Relationship
  11. 03 Result
  12. Conclusion
  13. Bibliography
  14. Index
  15. Images Credits

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