Diffusion models and synthetic data: Data Science course | Zoonk
63. Diffusion models and synthetic data
Covers diffusion model ideas, image generation, tabular synthetic data, data augmentation, and privacy risks. Learners judge when generated data helps and when it creates new bias or leakage.