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The Big Book of Synthetic Data Part 2

by Orly Zvitia, Director of AI, Datagen The Big Book of Synthetic Data answers all your burning questions about how to leverage synthetic data in your AI Models. Presented in several parts, the book discusses which synthetic data will benefit your model, how to deal with domain gaps, why you can trust synthetic data and...
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Introducing the Big Book of Synthetic Data!

By Orly Zvitia, Director of AI, Datagen The Big Book of Synthetic Data answers all your burning questions about how to leverage synthetic data in your AI Models. Presented in several parts, the book discusses which synthetic data will benefit your model, how to deal with domain gaps, why you can trust synthetic data and...
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Learn How to Use Synthetic Data in 6 Easy Steps You’ve generated your first batch of synthetic data and built a baseline model. Now what? We’ve gathered everything you need to know in our newest eBook to walk you through using synthetic data to train your models. In this ebook you will learn how to:
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Designing a Synthetic Data Solution

Learn how to create and iterate great synthetic datasets Download the ebook to: Discover the 3 main principles of successfully generating synthetic data Learn about using synthetic data to solve edge cases Understand how to control bias with synthetic data What are the core principles of creating synthetic data? With standard data acquisition processes, data...
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Solving Privacy Concerns With Synthetic Data

Can we maintain user privacy while meeting the need for more data? The short answer is yes – with synthetic data. In this eBook, we outline the rise of privacy regulations and the use of synthetic data for addressing privacy concerns in machine learning. Download the eBook to learn about: The privacy challenges inherent in...
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The Power of Synthetic Data: Everything You Need to Know

New eBook In The Power of Synthetic Data, you’ll discover how synthetically generated data can be leveraged to accelerate computer vision projects more quickly to production. Read the eBook to learn about: Addressing data gaps / edge cases Correcting for real-world biases Increasing privacy compliance Best practices for synthetic data
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