Practical Synthetic Data Generation

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

Aceasta carte practica introduce tehnici pentru generarea de date sintetice - date false generate din date reale - care pot oferi analize secundare pentru a va ajuta sa intelegeti comportamentele clientilor, sa dezvoltati produse noi sau sa generati noi venituri.