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Practical Synthetic Data Generation

- Balancing Privacy and the Broad Availability of Data

Practical Synthetic Data Generation

- Balancing Privacy and the Broad Availability of Data
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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
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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
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 175
ISBN-13: 9781492072744
Indbinding: Paperback
Udgave:
ISBN-10: 1492072745
Kategori: Databaser
Udg. Dato: 2 jun 2020
Længde: 13mm
Bredde: 233mm
Højde: 178mm
Forlag: O'Reilly Media
Oplagsdato: 2 jun 2020
Forfatter(e) Khaled El Emam, Lucy Mosquera, Richard Hoptroff


Kategori Databaser


ISBN-13 9781492072744


Sprog Engelsk


Indbinding Paperback


Sider 175


Udgave


Længde 13mm


Bredde 233mm


Højde 178mm


Udg. Dato 2 jun 2020


Oplagsdato 2 jun 2020


Forlag O'Reilly Media