New Course on Synthetic Data

I am excited to announce my upcoming Synthetic Data live course. Synthetic data is a powerful tool for creating realistic test datasets, data augmentation, benchmarking algorithms, and data sharing without compromising privacy.

In this course, we will cover synthetic data generation with copulas and GANs (generative adversarial networks), and provide hands-on experience using Python libraries. We will discuss the importance of synthetic data and its applications in various industries, such as healthcare, finance, and digital twins. We will also work on real-world use cases to solidify your understanding of the techniques.

We will focus on evaluating and validating synthetic data to ensure its quality and minimize bias, as well as best practices. By the end of this course, you will have the knowledge and tools to generate high-quality synthetic data for your projects. This course will provide you with the skills to generate realistic synthetic data for your applications, and to quickly identify the strengths and weaknesses of each method, which one to use depending on your data or goal, and how to fine-tune or blend different methods to get the best results or minimize computing time.

To learn more or sign-up, follow this link.

Best regards,

Vincent