Practical Synthetic Data Generation: Balancing Privacy And The Broad Availability Of Data

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 so you can perform secondary analysis to do research, understand customer behavior or develop new products

• | By (Author): Khaled El Emam
• | Publisher: O'Reilly Media, Inc, USA
• | Publication Date: Jun 02, 2020
• | Country of Publication: United States
• | Number of Pages: 175 pages
• | Language: Unknown
• | Binding: Softback
• | ISBN-10: 1492072745
• | ISBN-13: 9781492072744