Table of Contents and
Chapter notes for The AI Playbook

This book’s notes include references, plus resources for further learning. Click the chapter title for its notes – or click summary for a chapter overview.​

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Foreword ( summary )
Preface: A Brief History of Why Machine Learning Projects Stall ( summary )
Optional FAQ: What This Book Is about and Who It’s For ( summary )

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Introduction ( summary )
Chapter 0 - BizML: Six Steps to Machine Learning Deployment ( summary )
Chapter 1 - Value: Establish the Deployment Goal ( summary )
Chapter 2 - Target: Establish the Prediction Goal ( summary )
Chapter 3 - Performance: Establish the Evaluation Metrics ( summary )
Chapter 4 - Fuel: Prepare the Data ( summary )
Chapter 5 - Algorithm: Train the Model ( summary )
Chapter 6 - Launch: Deploy the Model ( summary )
BizML Cheat Sheet ( view sheet )
Conclusion: ML’s Elevator Pitch, Staff, Timeline, Upkeep, and Ethics ( summary )

Acknowledgments ( access within this PDF )
About the Author ( view bio )
Index

 

For a tutorial glossary that includes the terms introduced within this book and more, see www.MachineLearningGlossary.com.