Practical synthetic data generation: balancing privacy and the broad availability of data
Auteur :
El Emam, Khaled / Mosquera, Lucy / Hoptroff, Richard
Éditeur :
O'Reilly Media
ISBN :
9781492072744
Date de publication :
2 juin 2020
Dimensions :
23,2 x 17,8 cm
Langue :
Anglais
Pays d'origine :
USA
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