Machine Learning and the City
eBook - PDF

Machine Learning and the City

Applications in Architecture and Urban Design

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Machine Learning and the City

Applications in Architecture and Urban Design

About this book

Machine Learning and the City

Explore the applications of machine learning and artificial intelligence to the built environment

Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning.

Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes:

  • An introduction to the probabilistic logic that underpins machine learning
  • Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments
  • Practical discussions of the consequences of applied machine learning and the future of urban design

Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.

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Yes, you can access Machine Learning and the City by Silvio Carta in PDF and/or ePUB format, as well as other popular books in Architecture & Architecture Design. We have over one million books available in our catalogue for you to explore.

Information

Year
2022
Print ISBN
9781119749639
eBook ISBN
9781119749585

Table of contents

  1. Machine Learning and the City
  2. Contents
  3. Preface
  4. Acknowledgements
  5. Introduction
  6. Section I Urban Complexity
  7. Section II Machines that Think
  8. Section III How Machines Learn
  9. Section IV Application to the City
  10. Section V Machine Learning and Humans
  11. Index
  12. EULA