Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data (Paperback)

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Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data (Paperback)margin: 0px 0px 14px; padding: 0px; font family: "Amazon Ember", Arial, sans serif; font size: 14px;'Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic datafake data generated from real dataso you can perform secondary analysis to do research, understand customer behaviors,

Even though this is an introduction to data analysis

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