contents

 

   

       Front matter

preface

acknowledgments

about this book

about the author

about the cover illustration

   

  1  Introduction: Delivering machine learning projects is hard; let’s do it better

  1.1   What is machine learning?

  1.2   Why is ML important?

  1.3   Other machine learning methodologies

  1.4   Understanding this book

  1.5   Case study: The Bike Shop

           Summary

  2  Pre-project: From opportunity to requirements

  2.1   Pre-project backlog

  2.2   Project management infrastructure

  2.3   Project requirements

Funding model

Business requirements

  2.4   Data

  2.5   Security and privacy

  2.6   Corporate responsibility, regulation, and ethical considerations

  2.7   Development architecture and process

Development environment

Project risks