"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--
Inhaltsverzeichnis
Contents
Series Foreword ix
Foreword by Morgan Vawter xi
Preface: A Brief History of Why Machine Learning Projects Stall xv
Optional FAQ: What This Book Is about and Who It’s For xxi
Introduction 1
0 BizML: Six Steps to Machine Learning Deployment 21
1 Value: Establish the Deployment Goal 49
2 Target: Establish the Prediction Goal 63
3 Performance: Establish the Evaluation Metrics 81
4 Fuel: Prepare the Data 113
5 Algorithm: Train the Model 141
6 Launch: Deploy the Model 169
BizML Cheat Sheet 195
Conclusion: ML’s Elevator Pitch, Staff, Timeline, Upkeep, and Ethics 197
Acknowledgments 213
About the Author 217
Index 219
