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

by Lucy Mosquera, Khaled El Emam, Richard Hoptroff

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 data--fake data generated from real data--so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.

Data scientists will learn how synthetic...

• Format: Paperback
• Language: English
• ISBN: 1492072745
• ISBN13: 9781492072744
• Release Date: June 2020
• Publisher: O'Reilly Media
• Length: 163 Pages
• Weight: 0.65 lbs.
• Dimensions: 0.3" x 7.0" x 9.2"