Emam, Khaled El
Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data
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- ISBN 13:
- 9781492072744
- author:
- Emam, Khaled El
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2020
- Pages:
- 175
- Dimensions:
- 23.34 x 17.78 x 0.89 centimetres
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data
This book introduces techniques for generating synthetic data, allowing you to perform secondary analysis without compromising privacy. It covers methods for generating synthetic data from real datasets, including steps for distribution fitting, replicating data structure, and assessing data utility.
With a focus on balancing privacy concerns with the need for broadly available data, this book provides practical guidance for data scientists, analysts, and business leaders looking to accelerate their work with synthetic data.
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