The Hidden Power of Synthetic Data: Teaching Models What Real Data Can’t

Join us at PyData STL for a talk and community discussion on synthetic data and its growing role in machine learning.
Real-world data can be limited, expensive, or restricted by privacy concerns. Synthetic data offers a way to generate realistic datasets that help train and test models when real data isn’t enough.
In this session, we’ll cover:
• what synthetic data is and how it’s generated
• why companies and researchers use it
• how it can help with privacy, bias, and rare cases
• practical examples of when it works well (and when it doesn’t)
The talk is beginner friendly and open to anyone interested in data science or machine learning.
We’ll also leave time to network and chat with others in the local data community.
Who should attend?
Anyone curious about data science including students, professionals, hobbyists, or beginners are all welcome.
Come learn, connect, and be part of the PyData STL community!