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Practical Synthetic Data Generation by Khaled El Emam, Lucy Mosquera, Richard Hoptroff is a book available to read on EtoBox.
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Cover 1 Copyright 4 Table of Contents 5 Preface 9 Conventions Used in This Book 10 O’Reilly Online Learning 10 How to Contact Us 10 Acknowledgments 11 Chapter 1. Introducing Synthetic Data Generation 13 Defining Synthetic Data 13 Synthesis from Real Data 14 Synthesis Without Real Data 14 Synthesis and Utility 15 The Benefits of Synthetic Data 16 Efficient Access to Data 16 Enabling Better Analytics 17 Synthetic Data as a Proxy 18 Learning to Trust Synthetic Data 18 Synthetic Data Case Studies 20 Manufacturing and Distribution 21 Healthcare 23 Financial Services 28 Transportation 31 Summary 33 Chapter 2. Implementing Data Synthesis 35 When to Synthesize 36 Identifiability Spectrum 36 Trade-Offs in Selecting PETs to Enable Data Access 37 Decision Criteria 40 PETs Considered 41 Decision Framework 45 Examples of Applying the Decision Framework 48 Data Synthesis Projects 51 Data Synthesis Steps 51 Data Preparation 53 The Data Synthesis Pipeline 54 Synthesis Program Management 59 Summary 60 Chapter 3. Getting Started: Distribution Fitting 61 Framing Data 62 How Data Is Distributed 62 Fitting Distributions to Real Data 72 Generating Synthetic Data from a Distribution 74 Measuring How Well
- Author
- Khaled El Emam, Lucy Mosquera, Richard Hoptroff
- Language
- EN
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