FOYI - New Zealand

Synthetic Data Generation and Model Visibility

The ability to generate synthetic data and gain visibility into models is becoming increasingly important in the modern data science landscape. Synthetic data generation involves the creation of data sets that are not derived from real-world observations, but instead are generated using algorithms and mathematical models. This data can then be used to train and evaluate machine learning models, allowing for rapid experimentation and more accurate results. Additionally, the visibility into models that synthetic data generation provides can help data scientists better understand the inner workings of their models and fine-tune them for better performance.