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Practical Synthetic Data Generation

By Emam, Khaled El

Practical Synthetic Data Generation Computer Science

Practical Synthetic Data Generation

0 - Default Title
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
163
Release Date:
2020-06-09
Publication Date:
2020-06-23
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1492072745
ISBN13:
9781492072744
GPSR Manufacturer Reference:
[email protected]
Weight:
306 g
Height:
174 cm
Width:
231 cm
Thickness:
10 cm
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