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Gaussian Processes in Machine Learning by Ana Pascual López is a document available to read on EtoBox.

What is Gaussian Processes in Machine Learning about?

The document outlines a homework assignment focused on designing a Gaussian Process (GP) regressor using PyTorch. It includes instructions for implementing a GP class with methods for initialization, fitting, and prediction, as well as generating synthetic data for testing. The assignment emphasizes learning hyperparameters through maximizing marginal likelihood and evaluating model performance on both unidimensional and multidimensional datasets.

Author

Ana Pascual López

Language

EN