Non-parametric Models

Topics

Notes

Linked

Uncertainty in Machine Learning Non-parametric Models
Gaussian Processes

Learn non-parametric approximations to unknown functions AND identify where these approximations are unreliable.

Hyperparameters in Deep Neural Networks Gaussian Distribution Bayesian Linear Regression Equivalent Kernel Uncertainty in Machine Learning