Course Overview Self-Supervised Learning (SSL) is transforming the way we use machine learning by leveraging unlabeled data to create powerful models. This course offers a foundational understanding of SSL principles, algorithms, and applications, helping students develop the skills necessary to apply SSL techniques in real-world scenarios. Course Topics • Introduction to Self-Supervised Learning and its […]

Course Description Elevate your machine learning skills with our comprehensive course, “Generative Models”. This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, and diffusion models. Engage in hands-on activities, solve real-world problems in image and time-series generation, […]