Practical synthetic data generation : balancing privacy and the broad availability of data
(Book)
Author
Contributors
Published
Sebastopol, CA : O'Reilly Media, [2020].
Physical Desc
151 pages : illustrations ; 24 cm
Status
PCPLS - Valparaiso Public Library - Adult Nonfiction
005.7 EL EM
1 available
005.7 EL EM
1 available
Description
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Copies
Location | Call Number | Status |
---|---|---|
PCPLS - Valparaiso Public Library - Adult Nonfiction | 005.7 EL EM | On Shelf |
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More Details
Published
Sebastopol, CA : O'Reilly Media, [2020].
Format
Book
Language
English
Notes
General Note
Includes index.
Description
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. And business leaders will see how synthetic data can help accelerate time to a product or solution.
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Citations
APA Citation, 7th Edition (style guide)
El Emam, K., Mosquera, L., & Hoptroff, R. (2020). Practical synthetic data generation: balancing privacy and the broad availability of data . O'Reilly Media.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)El Emam, Khaled, Lucy, Mosquera and Richard, Hoptroff. 2020. Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data. O'Reilly Media.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)El Emam, Khaled, Lucy, Mosquera and Richard, Hoptroff. Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data O'Reilly Media, 2020.
MLA Citation, 9th Edition (style guide)El Emam, Khaled,, Lucy Mosquera, and Richard Hoptroff. Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data O'Reilly Media, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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