Machine Learning with Small Data Part 2

By completing this course, you'll master building powerful machine learning systems that excel with limited data. You'll gain expertise in multi-task learning, meta-learning, and advanced data augmentation—from physics-based simulations to generative approaches—enabling models to adapt quickly and perform beyond their dataset size. What makes this course unique is its focus on cutting-edge 3D and generative technologies: Neural Radiance Fields (NeRF), diffusion models, and 3D Gaussian Splatting. Unlike traditional ML courses that assume abundant data, this program tackles real-world constrain…