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Автор: Khaled El Emam, Lucy Mosquera, and Richard Hoptroff
Издательство: O’Reilly Media, Inc
Год: 2020-05-19
Формат: true pdf/epub
Страниц: 166
Размер: 17.5 Mb
Язык: English
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 data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets.