What is Gaussian Processes?

Non-parametric Bayesian regression. Gaussian Processes is a advanced machine learning algorithm used for modeling uncertainty. Before learning Gaussian Processes, you should understand: distributions, covariance, bayesian. Real-world applications include: Hyperparameter optimization, Robotics, Scientific modeling. This is an advanced topic requiring solid prerequisites.