In this video, you'll learn about the most important aspect of production-ready synthetic data - accuracy.
Accuracy is the statistical term that measures the distance between synthetic and original data, giving you the overall sense of how close the synthetic data represents the source.
Nick will teach you how to use the MOSTLY AI platform to judge accuracy, ensuring the synthetic data is privacy-safe and ready for wider use.
Here's what you will learn:
➡️ 000:00 - Introduction to Accuracy
➡️ 00:45 - Accuracy Metrics Overview
➡️ 01:20 - QA Report and Major Differences
➡️ 01:50 - Model Configuration Signals
➡️ 02:10 - Importance of Data Representation
➡️ 02:30 - MOSTLY AI's Advanced Algorithms
➡️ 02:45 - Realistic Synthetic Data
🔗 Get started by registering for a free account on MOSTLY AI's synthetic data platform: https://tinyurl.com/ymen9zz7
🖇️ Learn more about optimizing your training sample for synthetic data accuracy from this blogpost: https://tinyurl.com/tmt6wwyt