Lucy Mosquera Khaled El Emam Richard H Practical Synthetic Data Gen (Paperback)

Description: Further DetailsTitle: Practical Synthetic Data GenerationCondition: NewEAN: 9781492072744ISBN: 9781492072744Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 06/02/2020Item Height: 232mmItem Length: 178mmAuthor: Lucy Mosquera, Khaled El Emam, Richard HoptroffLanguage: EnglishSubtitle: Balancing Privacy and the Broad Availability of DataDescription: 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 revenueData 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. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes:Steps for generating synthetic data using multivariate normal distributionsMethods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationshipsMultiple approaches and metrics you can use to assess data utilityHow analysis performed on real data can be replicated with synthetic dataPrivacy implications of synthetic data and methods to assess identity disclosureCountry/Region of Manufacture: USGenre: Computing & InternetRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

Price: 52.39 USD

Location: 60502

End Time: 2024-11-20T18:58:18.000Z

Shipping Cost: 0 USD