Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and more importantly data privacy.
In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and data privacy.

Data Scarcity and using Synthetic Data to overcome it

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GitHub - usnistgov/Differential-Privacy-Synthetic-Data-Challenge-assets: This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Division's Differential Privacy program

The Synthetic Solution: Overcoming Data Scarcity in Machine Learning, by Harshita Sharma, Accredian

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Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

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