Data Science, Machine Learning, Artificial Intelligence, Technology, Data.
and decode to produce synthetic data. 6. Putting Synthetic Data Under the Microscope Evaluating synthetic data ensures it mimics the original. Comparing statistical properties like means and variances highlights fidelity, while visualizations like scatter plots and PCA reveal discrepancies.