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"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--
"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--
Über den Autor
Eric Siegel
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
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
Details
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Volkswirtschaft |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262048903 |
ISBN-10: | 0262048906 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Siegel, Eric |
Hersteller: | The MIT Press |
Abbildungen: | 20 b&w illustrations |
Maße: | 232 x 156 x 27 mm |
Von/Mit: | Eric Siegel |
Erscheinungsdatum: | 06.02.2024 |
Gewicht: | 0,48 kg |
Über den Autor
Eric Siegel
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
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
Details
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Volkswirtschaft |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262048903 |
ISBN-10: | 0262048906 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Siegel, Eric |
Hersteller: | The MIT Press |
Abbildungen: | 20 b&w illustrations |
Maße: | 232 x 156 x 27 mm |
Von/Mit: | Eric Siegel |
Erscheinungsdatum: | 06.02.2024 |
Gewicht: | 0,48 kg |
Warnhinweis