The goal of a machine learning regression problem is to predict ... kernel ridge regression, Gaussian process regression, decision tree regression and neural network regression. Each technique has ...

See my previous article, Styles of machine learning ... A neural network is a graph of nodes called neurons. The neuron is the basic unit of computation. It receives inputs and processes them ...

In the machine learning ... to run the deep net and see what it says — it’s something of a black box. But in the idealized scenario, at initialization the network is equivalent to a Gaussian process.